{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Sketch Recognition using Simple Neural Network (NN)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> - 🤖 See [full list of Machine Learning Experiments](https://github.com/trekhleb/machine-learning-experiments) on **GitHub**<br/><br/>\n",
    "> - ▶️ **Interactive Demo**: [try this model and other machine learning experiments in action](https://trekhleb.github.io/machine-learning-experiments/)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Experiment overview"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this experiment we will build a [Multilayer Perceptron](https://en.wikipedia.org/wiki/Multilayer_perceptron) (MLP) model using [Tensorflow](https://www.tensorflow.org/) to recognize handwritten sketches by using a [quick-draw dataset](https://github.com/googlecreativelab/quickdraw-dataset).\n",
    "\n",
    "A **multilayer perceptron** (MLP) is a class of feedforward artificial neural network. An MLP consists of, at least, three layers of nodes: an input layer, a hidden layer and an output layer. Except for the input nodes, each node is a neuron that uses a nonlinear activation function. MLP utilizes a supervised learning technique called backpropagation for training. Its multiple layers and non-linear activation distinguish MLP from a linear perceptron. It can distinguish data that is not linearly separable.\n",
    "\n",
    "![sketch_recognition_mlp.png](../../demos/src/images/sketch_recognition_mlp.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Import dependencies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 325,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Selecting Tensorflow version v2 (the command is relevant for Colab only).\n",
    "# %tensorflow_version 2.x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 673,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Python version: 3.7.6\n",
      "Tensorflow version: 2.1.0\n",
      "Keras version: 2.2.4-tf\n"
     ]
    }
   ],
   "source": [
    "import tensorflow as tf\n",
    "import tensorflow_datasets as tfds\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import math\n",
    "import datetime\n",
    "import platform\n",
    "import pathlib\n",
    "import random\n",
    "\n",
    "print('Python version:', platform.python_version())\n",
    "print('Tensorflow version:', tf.__version__)\n",
    "print('Keras version:', tf.keras.__version__)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 674,
   "metadata": {},
   "outputs": [],
   "source": [
    "cache_dir = 'tmp';"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 675,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mkdir: tmp: File exists\r\n"
     ]
    }
   ],
   "source": [
    "# Create cache folder.\n",
    "!mkdir tmp"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 676,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['abstract_reasoning',\n",
       " 'aeslc',\n",
       " 'aflw2k3d',\n",
       " 'amazon_us_reviews',\n",
       " 'arc',\n",
       " 'bair_robot_pushing_small',\n",
       " 'big_patent',\n",
       " 'bigearthnet',\n",
       " 'billsum',\n",
       " 'binarized_mnist',\n",
       " 'binary_alpha_digits',\n",
       " 'c4',\n",
       " 'caltech101',\n",
       " 'caltech_birds2010',\n",
       " 'caltech_birds2011',\n",
       " 'cars196',\n",
       " 'cassava',\n",
       " 'cats_vs_dogs',\n",
       " 'celeb_a',\n",
       " 'celeb_a_hq',\n",
       " 'chexpert',\n",
       " 'cifar10',\n",
       " 'cifar100',\n",
       " 'cifar10_1',\n",
       " 'cifar10_corrupted',\n",
       " 'citrus_leaves',\n",
       " 'cityscapes',\n",
       " 'civil_comments',\n",
       " 'clevr',\n",
       " 'cmaterdb',\n",
       " 'cnn_dailymail',\n",
       " 'coco',\n",
       " 'coil100',\n",
       " 'colorectal_histology',\n",
       " 'colorectal_histology_large',\n",
       " 'cos_e',\n",
       " 'curated_breast_imaging_ddsm',\n",
       " 'cycle_gan',\n",
       " 'deep_weeds',\n",
       " 'definite_pronoun_resolution',\n",
       " 'diabetic_retinopathy_detection',\n",
       " 'dmlab',\n",
       " 'downsampled_imagenet',\n",
       " 'dsprites',\n",
       " 'dtd',\n",
       " 'duke_ultrasound',\n",
       " 'dummy_dataset_shared_generator',\n",
       " 'dummy_mnist',\n",
       " 'emnist',\n",
       " 'esnli',\n",
       " 'eurosat',\n",
       " 'fashion_mnist',\n",
       " 'flic',\n",
       " 'flores',\n",
       " 'food101',\n",
       " 'gap',\n",
       " 'gigaword',\n",
       " 'glue',\n",
       " 'groove',\n",
       " 'higgs',\n",
       " 'horses_or_humans',\n",
       " 'i_naturalist2017',\n",
       " 'image_label_folder',\n",
       " 'imagenet2012',\n",
       " 'imagenet2012_corrupted',\n",
       " 'imagenet_resized',\n",
       " 'imagenette',\n",
       " 'imdb_reviews',\n",
       " 'iris',\n",
       " 'kitti',\n",
       " 'kmnist',\n",
       " 'lfw',\n",
       " 'lm1b',\n",
       " 'lost_and_found',\n",
       " 'lsun',\n",
       " 'malaria',\n",
       " 'math_dataset',\n",
       " 'mnist',\n",
       " 'mnist_corrupted',\n",
       " 'movie_rationales',\n",
       " 'moving_mnist',\n",
       " 'multi_news',\n",
       " 'multi_nli',\n",
       " 'multi_nli_mismatch',\n",
       " 'newsroom',\n",
       " 'nsynth',\n",
       " 'omniglot',\n",
       " 'open_images_v4',\n",
       " 'oxford_flowers102',\n",
       " 'oxford_iiit_pet',\n",
       " 'para_crawl',\n",
       " 'patch_camelyon',\n",
       " 'pet_finder',\n",
       " 'places365_small',\n",
       " 'plant_leaves',\n",
       " 'plant_village',\n",
       " 'plantae_k',\n",
       " 'quickdraw_bitmap',\n",
       " 'reddit_tifu',\n",
       " 'resisc45',\n",
       " 'rock_paper_scissors',\n",
       " 'rock_you',\n",
       " 'scan',\n",
       " 'scene_parse150',\n",
       " 'scicite',\n",
       " 'scientific_papers',\n",
       " 'shapes3d',\n",
       " 'smallnorb',\n",
       " 'snli',\n",
       " 'so2sat',\n",
       " 'squad',\n",
       " 'stanford_dogs',\n",
       " 'stanford_online_products',\n",
       " 'starcraft_video',\n",
       " 'sun397',\n",
       " 'super_glue',\n",
       " 'svhn_cropped',\n",
       " 'ted_hrlr_translate',\n",
       " 'ted_multi_translate',\n",
       " 'tf_flowers',\n",
       " 'the300w_lp',\n",
       " 'titanic',\n",
       " 'trivia_qa',\n",
       " 'uc_merced',\n",
       " 'ucf101',\n",
       " 'vgg_face2',\n",
       " 'visual_domain_decathlon',\n",
       " 'voc',\n",
       " 'wider_face',\n",
       " 'wikihow',\n",
       " 'wikipedia',\n",
       " 'wmt14_translate',\n",
       " 'wmt15_translate',\n",
       " 'wmt16_translate',\n",
       " 'wmt17_translate',\n",
       " 'wmt18_translate',\n",
       " 'wmt19_translate',\n",
       " 'wmt_t2t_translate',\n",
       " 'wmt_translate',\n",
       " 'xnli',\n",
       " 'xsum']"
      ]
     },
     "execution_count": 676,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# List all available datasets to see how the wikipedia dataset is called.\n",
    "tfds.list_builders()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 677,
   "metadata": {},
   "outputs": [],
   "source": [
    "DATASET_NAME = 'quickdraw_bitmap'\n",
    "\n",
    "dataset, dataset_info = tfds.load(\n",
    "    name=DATASET_NAME,\n",
    "    data_dir=cache_dir,\n",
    "    with_info=True,\n",
    "    split=tfds.Split.TRAIN,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Explore dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 678,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tfds.core.DatasetInfo(\n",
      "    name='quickdraw_bitmap',\n",
      "    version=3.0.0,\n",
      "    description='The Quick Draw Dataset is a collection of 50 million drawings across 345 categories, contributed by players of the game Quick, Draw!. The bitmap dataset contains these drawings converted from vector format into 28x28 grayscale images',\n",
      "    homepage='https://github.com/googlecreativelab/quickdraw-dataset',\n",
      "    features=FeaturesDict({\n",
      "        'image': Image(shape=(28, 28, 1), dtype=tf.uint8),\n",
      "        'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=345),\n",
      "    }),\n",
      "    total_num_examples=50426266,\n",
      "    splits={\n",
      "        'train': 50426266,\n",
      "    },\n",
      "    supervised_keys=('image', 'label'),\n",
      "    citation=\"\"\"@article{DBLP:journals/corr/HaE17,\n",
      "      author    = {David Ha and\n",
      "                   Douglas Eck},\n",
      "      title     = {A Neural Representation of Sketch Drawings},\n",
      "      journal   = {CoRR},\n",
      "      volume    = {abs/1704.03477},\n",
      "      year      = {2017},\n",
      "      url       = {http://arxiv.org/abs/1704.03477},\n",
      "      archivePrefix = {arXiv},\n",
      "      eprint    = {1704.03477},\n",
      "      timestamp = {Mon, 13 Aug 2018 16:48:30 +0200},\n",
      "      biburl    = {https://dblp.org/rec/bib/journals/corr/HaE17},\n",
      "      bibsource = {dblp computer science bibliography, https://dblp.org}\n",
      "    }\"\"\",\n",
      "    redistribution_info=,\n",
      ")\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(dataset_info)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 679,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "num_examples:  50426266\n",
      "image_shape:  (28, 28, 1)\n",
      "num_classes:  345\n"
     ]
    }
   ],
   "source": [
    "image_shape = dataset_info.features['image'].shape\n",
    "num_classes = dataset_info.features['label'].num_classes\n",
    "num_examples = dataset_info.splits['train'].num_examples\n",
    "\n",
    "print('num_examples: ', num_examples)\n",
    "print('image_shape: ', image_shape)\n",
    "print('num_classes: ', num_classes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 680,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "classes:\n",
      "\n",
      " ['aircraft carrier', 'airplane', 'alarm clock', 'ambulance', 'angel', 'animal migration', 'ant', 'anvil', 'apple', 'arm', 'asparagus', 'axe', 'backpack', 'banana', 'bandage', 'barn', 'baseball bat', 'baseball', 'basket', 'basketball', 'bat', 'bathtub', 'beach', 'bear', 'beard', 'bed', 'bee', 'belt', 'bench', 'bicycle', 'binoculars', 'bird', 'birthday cake', 'blackberry', 'blueberry', 'book', 'boomerang', 'bottlecap', 'bowtie', 'bracelet', 'brain', 'bread', 'bridge', 'broccoli', 'broom', 'bucket', 'bulldozer', 'bus', 'bush', 'butterfly', 'cactus', 'cake', 'calculator', 'calendar', 'camel', 'camera', 'camouflage', 'campfire', 'candle', 'cannon', 'canoe', 'car', 'carrot', 'castle', 'cat', 'ceiling fan', 'cell phone', 'cello', 'chair', 'chandelier', 'church', 'circle', 'clarinet', 'clock', 'cloud', 'coffee cup', 'compass', 'computer', 'cookie', 'cooler', 'couch', 'cow', 'crab', 'crayon', 'crocodile', 'crown', 'cruise ship', 'cup', 'diamond', 'dishwasher', 'diving board', 'dog', 'dolphin', 'donut', 'door', 'dragon', 'dresser', 'drill', 'drums', 'duck', 'dumbbell', 'ear', 'elbow', 'elephant', 'envelope', 'eraser', 'eye', 'eyeglasses', 'face', 'fan', 'feather', 'fence', 'finger', 'fire hydrant', 'fireplace', 'firetruck', 'fish', 'flamingo', 'flashlight', 'flip flops', 'floor lamp', 'flower', 'flying saucer', 'foot', 'fork', 'frog', 'frying pan', 'garden hose', 'garden', 'giraffe', 'goatee', 'golf club', 'grapes', 'grass', 'guitar', 'hamburger', 'hammer', 'hand', 'harp', 'hat', 'headphones', 'hedgehog', 'helicopter', 'helmet', 'hexagon', 'hockey puck', 'hockey stick', 'horse', 'hospital', 'hot air balloon', 'hot dog', 'hot tub', 'hourglass', 'house plant', 'house', 'hurricane', 'ice cream', 'jacket', 'jail', 'kangaroo', 'key', 'keyboard', 'knee', 'knife', 'ladder', 'lantern', 'laptop', 'leaf', 'leg', 'light bulb', 'lighter', 'lighthouse', 'lightning', 'line', 'lion', 'lipstick', 'lobster', 'lollipop', 'mailbox', 'map', 'marker', 'matches', 'megaphone', 'mermaid', 'microphone', 'microwave', 'monkey', 'moon', 'mosquito', 'motorbike', 'mountain', 'mouse', 'moustache', 'mouth', 'mug', 'mushroom', 'nail', 'necklace', 'nose', 'ocean', 'octagon', 'octopus', 'onion', 'oven', 'owl', 'paint can', 'paintbrush', 'palm tree', 'panda', 'pants', 'paper clip', 'parachute', 'parrot', 'passport', 'peanut', 'pear', 'peas', 'pencil', 'penguin', 'piano', 'pickup truck', 'picture frame', 'pig', 'pillow', 'pineapple', 'pizza', 'pliers', 'police car', 'pond', 'pool', 'popsicle', 'postcard', 'potato', 'power outlet', 'purse', 'rabbit', 'raccoon', 'radio', 'rain', 'rainbow', 'rake', 'remote control', 'rhinoceros', 'rifle', 'river', 'roller coaster', 'rollerskates', 'sailboat', 'sandwich', 'saw', 'saxophone', 'school bus', 'scissors', 'scorpion', 'screwdriver', 'sea turtle', 'see saw', 'shark', 'sheep', 'shoe', 'shorts', 'shovel', 'sink', 'skateboard', 'skull', 'skyscraper', 'sleeping bag', 'smiley face', 'snail', 'snake', 'snorkel', 'snowflake', 'snowman', 'soccer ball', 'sock', 'speedboat', 'spider', 'spoon', 'spreadsheet', 'square', 'squiggle', 'squirrel', 'stairs', 'star', 'steak', 'stereo', 'stethoscope', 'stitches', 'stop sign', 'stove', 'strawberry', 'streetlight', 'string bean', 'submarine', 'suitcase', 'sun', 'swan', 'sweater', 'swing set', 'sword', 'syringe', 't-shirt', 'table', 'teapot', 'teddy-bear', 'telephone', 'television', 'tennis racquet', 'tent', 'The Eiffel Tower', 'The Great Wall of China', 'The Mona Lisa', 'tiger', 'toaster', 'toe', 'toilet', 'tooth', 'toothbrush', 'toothpaste', 'tornado', 'tractor', 'traffic light', 'train', 'tree', 'triangle', 'trombone', 'truck', 'trumpet', 'umbrella', 'underwear', 'van', 'vase', 'violin', 'washing machine', 'watermelon', 'waterslide', 'whale', 'wheel', 'windmill', 'wine bottle', 'wine glass', 'wristwatch', 'yoga', 'zebra', 'zigzag']\n"
     ]
    }
   ],
   "source": [
    "label_index_to_string = dataset_info.features['label'].int2str\n",
    "\n",
    "classes = []\n",
    "\n",
    "for class_index in range(num_classes):\n",
    "    classes.append(label_index_to_string(class_index))\n",
    "    \n",
    "print('classes:\\n\\n', classes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 681,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<DatasetV1Adapter shapes: {image: (28, 28, 1), label: ()}, types: {image: tf.uint8, label: tf.int64}>\n"
     ]
    }
   ],
   "source": [
    "print(dataset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 682,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x648 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = tfds.show_examples(dataset_info, dataset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 700,
   "metadata": {},
   "outputs": [],
   "source": [
    "def dataset_preview(dataset, image_shape, preview_images_num=100):\n",
    "    num_cells = math.ceil(math.sqrt(preview_images_num))\n",
    "    plt.figure(figsize=(17, 17))\n",
    "    image_size = image_shape[0]\n",
    "    \n",
    "    for image_index, example in enumerate(dataset.take(preview_images_num)):\n",
    "        image = example['image']\n",
    "        label = example['label']\n",
    "        \n",
    "        class_index = label.numpy()\n",
    "        class_name = label_index_to_string(class_index)\n",
    "        \n",
    "        plt.subplot(num_cells, num_cells, image_index + 1)\n",
    "        plt.xticks([])\n",
    "        plt.yticks([])\n",
    "        plt.grid(False)\n",
    "        plt.imshow(\n",
    "            np.reshape(image, (image_size, image_size)),\n",
    "            cmap=plt.cm.binary\n",
    "        )\n",
    "        plt.xlabel('{} ({})'.format(class_name, class_index))\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 701,
   "metadata": {},
   "outputs": [],
   "source": [
    "def dataset_normalized_preview(dataset, image_shape, preview_images_num=100):\n",
    "    num_cells = math.ceil(math.sqrt(preview_images_num))\n",
    "    plt.figure(figsize=(17, 17))\n",
    "    image_size = image_shape[0]\n",
    "    \n",
    "    for image_index, example in enumerate(dataset.take(preview_images_num)):\n",
    "        image = example[0]\n",
    "        label = example[1]\n",
    "        \n",
    "        class_index = label.numpy()\n",
    "        class_name = label_index_to_string(class_index)\n",
    "        \n",
    "        plt.subplot(num_cells, num_cells, image_index + 1)\n",
    "        plt.xticks([])\n",
    "        plt.yticks([])\n",
    "        plt.grid(False)\n",
    "        plt.imshow(\n",
    "            np.reshape(image, (image_size, image_size)),\n",
    "            cmap=plt.cm.binary\n",
    "        )\n",
    "        plt.xlabel('{} ({})'.format(class_name, class_index))\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 684,
   "metadata": {},
   "outputs": [],
   "source": [
    "def dataset_head(ds):\n",
    "    for example in ds.take(1):\n",
    "        image = example['image']\n",
    "        label = example['label']\n",
    "\n",
    "        class_index = label.numpy()\n",
    "        class_name = label_index_to_string(class_index)\n",
    "\n",
    "        print('{} ({})'.format(class_name, class_index), '\\n')\n",
    "        print('Image shape: ', image.shape, '\\n')\n",
    "        print(np.reshape(image.numpy(), (28, 28)), '\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 685,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "backpack (12) \n",
      "\n",
      "Image shape:  (28, 28, 1) \n",
      "\n",
      "[[  0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0\n",
      "    0   0   0   0   0   0   0   0   0   0]\n",
      " [  0   0   0   0   0   0   0   0   0   0   0   0   0   3  31  63  95 115\n",
      "   86  50   2   0   0   0   0   0   0   0]\n",
      " [  0   0   0   0   0  75 183 176 152  10  54 182 222 250 255 255 255 255\n",
      "  255 255 231 151  61   0   0   0   0   0]\n",
      " [  0   0   0   0 129 255 216 202 255  98 220 222 157 125  93  60  28   8\n",
      "   38  82 162 239 254 108   0   0   0   0]\n",
      " [  0   0   0  33 250 158   4   0 204 209 255 236 105   0   0   0   0   0\n",
      "    0   0   0   6 164 254  88   0   0   0]\n",
      " [  0   0   0 158 243  30 155 235 211 255 254 185 255  97   0   0   0   0\n",
      "    0   0   0   0   3 193 229  10   0   0]\n",
      " [  0   0  38 251 134 153 251 162 252 245 225   1 180 241   6   0   0   0\n",
      "    0   0   0   0   0  69 255  62   0   0]\n",
      " [  0   0 150 240  26 245 145   0 116 255 149   0  75 255  58   0   0   0\n",
      "    0   0   0   0   0  29 255  94   0   0]\n",
      " [  0   0 209 173  77 255  62   0  62 255  68   0  14 251 122   0   0   0\n",
      "    0   0   0   0   0   2 249 128   0   0]\n",
      " [  0   0 240 138 151 236   4   0  76 255  46   0   0 221 157   0   0   0\n",
      "    0   0   0   0   0   0 218 160   0   0]\n",
      " [  0   0 251 127 188 188   0   0  76 255  46   0   0 213 164   0   4  45\n",
      "    0   0   0   0   0   0 186 193   0   0]\n",
      " [  0   5 255 117 199 176   0   0  76 255  46   0   0 205 173   0  75 251\n",
      "    9   0  44 154   2   0 158 226   0   0]\n",
      " [  0  14 255 108 209 166   0   0  76 255  46   0   0 160 243 102  44  61\n",
      "   34  35  98 199 132 170 251 252   6   0]\n",
      " [  0  23 255  99 220 156   0   0  76 255  46   0   0 120 249 255 255 255\n",
      "  255 255 255 255 247 214 202 255  24   0]\n",
      " [  0  17 255 108 221 162   0   0  72 255  51   0   0 129 247  31  82  85\n",
      "   85  85  62  28   1   0 108 255  13   0]\n",
      " [  0   0 237 143 159 232   3   0  38 255  87   0   0 129 247   0   0   0\n",
      "    0   0   0   0   0   0 121 253   2   0]\n",
      " [  0   0 198 199  73 255  78   0   4 248 127   0   0 129 247   0   0   0\n",
      "   20  63  39   8   0   0 134 242   0   0]\n",
      " [  0   0  96 255 101 220 233  96   1 213 166   0   0 129 247   0  95 204\n",
      "  253 255 255 255 230 199 218 232   0   0]\n",
      " [  0   0   1 180 252 136 189 255 106 173 207   0   0 129 247   0 239 228\n",
      "  116  63  84 115 147 185 255 231   0   0]\n",
      " [  0   0   0   8 161 255 163  76  22 133 246   2   0 129 247   0 198 177\n",
      "    0   0   0   0   0  49 255 220   0   0]\n",
      " [  0   0   0   0   0 113 251 242 196 240 255  37   0 129 247   0 208 168\n",
      "    0   0   0   0   0 130 254 190   0   0]\n",
      " [  0   0   0   0   0   0  56 141 184 165 248 159   0 126 250   0 174 224\n",
      "   13   0   0   0   0 219 255 115   0   0]\n",
      " [  0   0   0   0   0   0   0   0   0   0 127 254  60 116 255   5  69 252\n",
      "  230  96   2   0  46 255 253  30   0   0]\n",
      " [  0   0   0   0   0   0   0   0   0   0   9 215 241 161 255  15   0  46\n",
      "  190 255 206 169 244 255 117   0   0   0]\n",
      " [  0   0   0   0   0   0   0   0   0   0   0  23 203 255 255 229 217 204\n",
      "  191 227 255 255 251 156   0   0   0   0]\n",
      " [  0   0   0   0   0   0   0   0   0   0   0   0   1 108 255 183 159 170\n",
      "  185 170 112  65   4   0   0   0   0   0]\n",
      " [  0   0   0   0   0   0   0   0   0   0   0   0   0   3  97  23   0   0\n",
      "    0   0   0   0   0   0   0   0   0   0]\n",
      " [  0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0\n",
      "    0   0   0   0   0   0   0   0   0   0]] \n",
      "\n"
     ]
    }
   ],
   "source": [
    "dataset_head(dataset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 702,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1224x1224 with 100 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dataset_preview(dataset, image_shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Normalize dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 691,
   "metadata": {},
   "outputs": [],
   "source": [
    "def normalize_example(example):\n",
    "    image = example['image']\n",
    "    label = example['label']\n",
    "    \n",
    "    image = tf.math.divide(image, 255)\n",
    "    \n",
    "    return (image, label)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 692,
   "metadata": {},
   "outputs": [],
   "source": [
    "def augment_example(image, label):\n",
    "    image = tf.image.random_flip_left_right(image)\n",
    "    return (image, label)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 693,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset_normalized = dataset.map(normalize_example).map(augment_example)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 694,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "backpack (12) \n",
      "\n",
      "Image shape:  (28, 28, 1) \n",
      "\n",
      "[[0.         0.         0.         0.         0.         0.\n",
      "  0.         0.         0.         0.         0.         0.\n",
      "  0.         0.         0.         0.         0.         0.\n",
      "  0.         0.         0.         0.         0.         0.\n",
      "  0.         0.         0.         0.        ]\n",
      " [0.         0.         0.         0.         0.         0.\n",
      "  0.         0.         0.         0.         0.         0.\n",
      "  0.         0.01176471 0.12156863 0.24705882 0.37254903 0.4509804\n",
      "  0.3372549  0.19607843 0.00784314 0.         0.         0.\n",
      "  0.         0.         0.         0.        ]\n",
      " [0.         0.         0.         0.         0.         0.29411766\n",
      "  0.7176471  0.6901961  0.59607846 0.03921569 0.21176471 0.7137255\n",
      "  0.87058824 0.98039216 1.         1.         1.         1.\n",
      "  1.         1.         0.90588236 0.5921569  0.23921569 0.\n",
      "  0.         0.         0.         0.        ]\n",
      " [0.         0.         0.         0.         0.5058824  1.\n",
      "  0.84705883 0.7921569  1.         0.38431373 0.8627451  0.87058824\n",
      "  0.6156863  0.49019608 0.3647059  0.23529412 0.10980392 0.03137255\n",
      "  0.14901961 0.32156864 0.63529414 0.9372549  0.99607843 0.42352942\n",
      "  0.         0.         0.         0.        ]\n",
      " [0.         0.         0.         0.12941177 0.98039216 0.61960787\n",
      "  0.01568628 0.         0.8        0.81960785 1.         0.9254902\n",
      "  0.4117647  0.         0.         0.         0.         0.\n",
      "  0.         0.         0.         0.02352941 0.6431373  0.99607843\n",
      "  0.34509805 0.         0.         0.        ]\n",
      " [0.         0.         0.         0.61960787 0.9529412  0.11764706\n",
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      "  0.9137255  0.3764706  0.00392157 0.8352941  0.6509804  0.\n",
      "  0.         0.5058824  0.96862745 0.         0.37254903 0.8\n",
      "  0.99215686 1.         1.         1.         0.9019608  0.78039217\n",
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      "  0.23529412 0.45490196 1.         0.01960784 0.27058825 0.9882353\n",
      "  0.9019608  0.3764706  0.00784314 0.         0.18039216 1.\n",
      "  0.99215686 0.11764706 0.         0.        ]\n",
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      "  0.         0.         0.         0.         0.03529412 0.84313726\n",
      "  0.94509804 0.6313726  1.         0.05882353 0.         0.18039216\n",
      "  0.74509805 1.         0.80784315 0.6627451  0.95686275 1.\n",
      "  0.45882353 0.         0.         0.        ]\n",
      " [0.         0.         0.         0.         0.         0.\n",
      "  0.         0.         0.         0.         0.         0.09019608\n",
      "  0.79607844 1.         1.         0.8980392  0.8509804  0.8\n",
      "  0.7490196  0.8901961  1.         1.         0.9843137  0.6117647\n",
      "  0.         0.         0.         0.        ]\n",
      " [0.         0.         0.         0.         0.         0.\n",
      "  0.         0.         0.         0.         0.         0.\n",
      "  0.00392157 0.42352942 1.         0.7176471  0.62352943 0.6666667\n",
      "  0.7254902  0.6666667  0.4392157  0.25490198 0.01568628 0.\n",
      "  0.         0.         0.         0.        ]\n",
      " [0.         0.         0.         0.         0.         0.\n",
      "  0.         0.         0.         0.         0.         0.\n",
      "  0.         0.01176471 0.38039216 0.09019608 0.         0.\n",
      "  0.         0.         0.         0.         0.         0.\n",
      "  0.         0.         0.         0.        ]\n",
      " [0.         0.         0.         0.         0.         0.\n",
      "  0.         0.         0.         0.         0.         0.\n",
      "  0.         0.         0.         0.         0.         0.\n",
      "  0.         0.         0.         0.         0.         0.\n",
      "  0.         0.         0.         0.        ]] \n",
      "\n"
     ]
    }
   ],
   "source": [
    "for (image, label) in dataset_normalized.take(1):\n",
    "    class_index = label.numpy()\n",
    "    class_name = label_index_to_string(class_index)\n",
    "\n",
    "    print('{} ({})'.format(class_name, class_index), '\\n')\n",
    "    print('Image shape: ', image.shape, '\\n')\n",
    "    print(np.reshape(image.numpy(), (28, 28)), '\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 705,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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7evOdhzsQ6i+ep5frB56Ls127dqbZMRF6ZzhwiHtsuA7keeZ5PvFMwXaVAN+v+I081/m17aHinmcOjeT9z2/6t9hiC9OTJ08GkKyvOAiKg/EGDhxouhJ7L7kOz+Q8YbgnhwOOaguHpbIuBtyT06hRo6Kuu67IFLLK92pu9xQCzwnNrj6eWzyfY8E9yJV4rqdtUyaXHJ8z3AN76KGHmt5yyy0BJNuwmdr3HIwZnCmZ5kxmB2NwCwFJN2O2ucf5/Jk2bVqNy5YSDq76448/AABDhw61MtYM95jzvTM4Zfkeyr2xHKzLbYCwPD/zZYLPaz4XwnH/888/U7/vnXfeMc2huHxfycVFkAuVd7UJIYQQQgghhBBlQA/IQgghhBBCCCEEimSxDt3ZPDcWh3TxoPtiWy6DpY274xm2e7Ilgq1bhcL2PLbZlQIOsXrooYcAJG0owaYCAI8++qjpTPahYGtgux0HYrG9lwOnQngChwSw5sAenj+Zj0vHjh0BJK11fDzZbs1haBwQxfujVPDvCbCFiMPkNt54Y9NsbefAmq233hoAsPjii1sZ27XY4sn2o3HjxgEApk6damWFWlXZQsQBRtttt13q8mF4BVB1bO68804rC8FNDZlgH10QLdZsJQ2wbatt27am2eLG1wDbb0M9w0NuuE7KFOQULH0c7rXOOuuY5rm5eZvy4dVXXzXdunVr01y/8jzylcZ5551n+ogjjjDNYZghsCYXi1w22G7dr1+/VM2EeZP5c6FOBJI2QT4PuL6sFDiwdNiwYaa5vmTLe32B6zgOTavtfKOlohQW61tvvTW1nK2h+fDPP/+YrkSLddo86Zks1hzcx+c/W9FD3c/zJ7MlnQN9eYhGtuEtPNSB28d8X8oGnz9say43afc0HsbI9mkOTAxzDgNJW3Jo13N7m4dFFdq+zIVwHDMdTx4GNGLEiNRlwnMHDwEsJJCs8q42IYQQQgghhBCiDOgBWQghhBBCCCGEQC0s1mxxCnZZnmuLrabFTs5lQjd8pnkdOdmMbbhs4QsJjGxR5QTOQYMGmWaLC9sWOBWvFLA9ha1/hZKWXnrbbbeZPu6440zPnTu31t/HnHbaaQCSlmmeF5JtEk888YRpnlOb5zQsFWnWot122800Wy8ZtqqEOcSBKivpAw88YGWff/55bTczL3h+wFxsljysYtdddwUAdOnSpfgbVsGEdOZSJ9lXApxgmTbc5e67785rfWE+Uh4Cw+mZXA+xvS7U/zy05/777zfNwx0OOeQQ05yGzCnwafAMDCHlE0jW/ZVsse7atatprlND/QtU3dPY9s72R95fpYDTTZdddlnTnF5bieyyyy6muc3A1s6jjz7aNLdNgqWW2yhhfvCadLCKppUBybl+M60jfCd/LhcLap8+fbIuUwlwfcX3rmIkEgfbKd+/mSlTptT6OypxHuQ02zfbwjPBbSVOKQ6z4fBQrWLA9QfD53822GLN7WCeiYGHI5YTHtbHw1aK8azCw1o4wT60Afjv/N1sm+bPcVp2mIGFh7BusMEG8/0dSFqsL7roItNhuE5t53lWD7IQQgghhBBCCAE9IAshhBBCCCGEEABqYbH+7bff5ivjLnO2PLP1utiENNRHHnnEythuy7a4F1980TSnnYYJq9944w0r48TBvn37muYE58cee8x0SO1jeyFbCyqdli1bAkjaGdm6fdBBB5nee++9TQf7PE/OzlZFLmcrDtvL7rjjDgDAYYcdZmU333yzaT6e5bBSZyLNYs0JgZngJMeRI0fWuCxbj9jSzzrYxtjaE2y/QHKIAx8PXiZ8zzLLLJN1+xlOPgy2/7q83iuRsO9ef/31Mm9J6eFrukWLFgCSdWS+nHPOOQCSwxDGjx9vmm3VnIQfEnU5kfmMM84wfeONN5q+8MILTX/55Zemw/0hF/suW7ZHjx6ddflKg63qnFAfNF/XpYaHb7FNnre5EtN8mXAtAMl64YYbbkjVPKSoUELdzVZSrs9Zc3ot2xvDZ3moDa+P7cP8GzmVvpLh84bbOsUYyhRs2mzZ5XvsN998U9B6ORG6Ei3W+aRYM3wseBjHqFGjACTvAdxuKTS1ns95ptAUa4ZT0MthsU571vjjjz9Mv/zyy6Z5//EQVH5mC8Mx0oZf8N+r6zB0J9PQjrRlAeDtt982He6nuVjfBwwYYJrbubW1Vgcq+y4jhBBCCCGEEEKUCD0gCyGEEEIIIYQQqEOLNXefc3mxCZYHtjazhbUYTJ482TQnq7Hdb8KECQCqJqgGkvbYSifYYjkde6ONNjLNFsWjjjrK9GuvvQYgac8IacYAcMwxx5gOyXIAcPvtt5sO+7FXr15Wxvuc08UrybaeZvNr3Lhx1s9xOiNbPEOqJlu/CrUTlQo+7pwKuiAR7F/FTnevb4TzdubMmQWv4+GHHwaQTFxOq2cB4OCDDzadliDOlitO2eXrj9cR7N252F3bt29vmm2nM2bMAJCsRysdTtIP9uahQ4daGf/WuiQcw7ThTwBw0kknlWQ7is0222xjesiQIabZHsjp6+FezJZotjmzZit0KTj11FNNL7JIwc3HioDvrTxco1DSkrA5Sfizzz4raL1sV67EoQWFplgze+21l+lQP/O+O+uss0yfeeaZ+W4igMwp1vlYrLlNzPCxb9u2bX4bVgR4VoUAW9TZbs1J0qWq2wuBLdY8bItnCPjiiy9M8zlXrOuk8q42IYQQQgghhBCiDBT8CjCtJ497lfnNL4duZNyQlLeRuXwufCe/MeDeBH4zm+2tFvc48Fxb/HaGQxJ4TsjQs1Ffe9FCyBkP5j///PNNczAXL7POOusASIZccI8KB5k988wzpjnkJoSB8bzG3IPBvc3HH398Tr+nFBT65pRDzLLNvVrpcJjPghbOFajEt/rlINThXPfnArsovv76awDADjvskLosO5PCskDVW3EO9+Pgxt69e5tmhwsHA4Y6J98eZCaEhXXr1i3rOioFDk4J97dx48ZZGc9Pzz3j3JsY4Hs219v//e9/TfO9nl0XaS6A5557znTz5s0z/4h6CNf9Ye7XcsDXazhvTzjhBCvbfvvtTdelG7DUcLgUOxALJYSxcRjU+uuvb/qjjz4qaL25BF6Vk7T7X77bzOd/6Nnfd999rawYrlA+3uz0y2ceZH5GYPcGh3SVA65LwjVaGydXJcA9/uzC4R5wbm+zLlaYnVp2QgghhBBCCCEE9IAshBBCCCGEEEIAqIXFmu0FQX/yySdW1q5dO9NPPfWUae4GZ8sDW5oDH3/8semtttoq521jG1hdhqWkWdPqk8WaLT9hXmK2DobAGSBpq77vvvtMB7scz6fGNjsOxDn22GNNc/BWKOdQku+++840z1vavXt30+W2e6XN/5dvOEV9h4dVLKgWa1E7Jk2aNF/Zlltumbos23N///1305deeimAZP3A+sEHHzR9+OGHm+7YsaPpEPjBwwYy1edsneQwxhBaWJ8s1l26dDEd7tV9+/ZNXZbnX+fQrHBcRowYYWU8HIbD1dh6fffdd8/3HbxvOZClIcDWU7ZAVkqoWxgexceALdYNCa5LimFjDuf+HnvsYWU8p3qhQWC8bZUYjFaMdhDPW9u6dWsAwDvvvGNlmeYwLhReXz4hXcwGG2xgutwWaybU0Vy/1KfA4GxkuqZ4qEjaOVkI6kEWQgghhBBCCCGgB2QhhBBCCCGEEAJALSzWTLAahBQ/IGnRuuuuu0yPGjXKdKdOnUwHizXPTVeXtoU5c+aYfvfddwEkbQhseeLUNIYt1sEiUp8SbQ855BDTwR7L6dFsrWKr25FHHmk6HOfBgwdbGVsd+Bjvv//+pu+44w7TbL0OXHTRRanbwenXp5xyiukwn2kp50lOs3FUeuJkMeC559jistpqq5Vjc0Q9Z+LEiaaDfYrnwGTYqsukJSozXNfdcMMNpjk5OdTdmer7TIR5sIGqe93//vc/K6ukudvTWGuttUyHenm99dazMk4GP+6442pcFw+nYjIdN5654LTTTgMA7Lzzzlm2uP7Cszoceuihpr/55hvTtZ3beMqUKabDPgWS9nceDsOJr2GY0/fff1+rbagP8P27UPvz22+/bTrUJZdccomV8Xlf6PArbk8VK523mHAidKBQ2zJQNWNKr169rIzn9G3atGnB6w4Uw2LNcyKPHj261ttULNZcc00AyZlleJ/NmzfP9HbbbWe6VatWpjfffHMAwGabbTZfGZB+zEsFW6w5fZ6vE82DLIQQQgghhBBCFBE9IAshhBBCCCGEECiSxTpM4t2jRw8rYxsmJ1Qfc8wxptnGE1I/edkPPvig1tvGKZlse+PkVO6aT4Ot182aNTPNScv1JcGX9znvg7BvOLWV7YdHHHGEad4HHTp0qPH79ttvP9OcjDlmzBjTaRZrtn6w7fvyyy9P3aYLLrgAQNKWX6wku0yk2TgWhBRrTpdkNtlkkxJviWgIcD3UsmVLAJltzmxFZZtXtkR7Trzm2RY4PTXY0PKtN9hC/ccffwDIfk+pVHjfBNhinZY4DgBz584FAAwbNszKeLhUpqEnwQ4IVKXXvvXWW3lscf2CU4jZ1jtr1izTtbVY8zF88cUXTbPlcsMNN0z97AorrACgdhbZ+kIxEqbZth6O7Z577mllfL0U+h2zZ882ve222xa0jrqErbcB/t1t2rTJa3177bUXgKTF+vrrrzfN6flcfwfbdC42dL4OCz3X+RriYaS//vorgPI9E4QhMzzzDM8mw+3WyZMnm+bhr7fcckuN39GiRQvTbM0Oz298DH788UfThQ5B5M/x8Fi+pngZWayFEEIIIYQQQogiogdkIYQQQgghhBACRbJYB3v0ww8/bGWcdtmnTx/Tb7zxhmm2ZAdbAtsWpk2bVutt43RTtg9feeWVprfZZhsAwLfffmtlM2bMMM1W4w8//NA0p3bXl4m4P/7449TysN/ZFsKWWU5+HTRokOlghR44cKCVcYrjQQcdZJotXpxMnQ1OoGXN33nyyScDSJ4zdW35ZQthgJPNOd22vvPRRx+ZDnZ2AGjSpInpNKuVENkIswgAwNZbb13jsmussYZpvtaGDx8OANh3332tjBNmu3fvbpoti3wNZ7KdZiMk/zL1aTYDZtdddwWQtOSxfu6550z/9ddfpoPVjWcfYPvbpZdeavq3334zzdb4ULf37NnTyj799FPTPPyqvhIszNXh4Vpp8L5ma3AanNDL5GIlDfbuYJlvyPBQikKHRj3xxBOm27ZtCyBpkS/0O9577z3TX3/9tWmexaNS4HM6zP7CMxPkSxiKt9tuu1kZt9dZp8HDczIN1eFroV+/fgVtJ6dY85Ca8IzA1uNSEizWXHfmMjMADxUKv43rcK63eajmyJEjTYflM9nc+XrIdJyCzrQOnmGIZ9The1Ox0t7r511cCCGEEEIIIYQoMnpAFkIIIYQQQgghUCSLdejOZot1SLYGgCuuuMJ0165dTXMCYEjn4/Trp556ynShCWVsm1t55ZVN9+7dO+d1MJzO9+yzz5quLynWPLE2E+wVvG+ffPJJ05wYfeihh5o+44wzACTt62xhHDx4sGk+9oXaWhhOiwxwKl9dW6zbt28/XxknpV911VWm6zpRuxDYFhSs9+PHj7cyTqTlc4GTI9l+mcnOJBYMgv2Zh57kAlvVJkyYACBpR+Rrh+8rt956q+mQls/nICdXszW7b9++pnm4AF+72fjss89Mb7rppqZfeuklAMkE0VzsbZVCqP/Zks46H55++mnTbBHmOnqHHXYw3blzZwDAKaecYmUPPfSQ6bPOOqug7agk+Fw54IADTDdv3ny+Zfk8Zfvga6+9VuN3LLvssqnluVis//Of/wBI2i0bKmxVz9QuSuOrr74yHeorALj22mvnW5bTkvOxWD///POp5R07dsx5HeVgyy23BFA7i3XgmWeeMc11Bs+iEYZmAlXn9y+//GJlmY7rBhtsYJqHeuZDJgv1q6++WuPf65rQzuYho7mce3y/ZDt1NvgYhFkcMsHr5dkKuG4K9yAesteuXTvTXG+GYQ1A8jcqxVoIIYQQQgghhCgiRelBDvDbe55/mN+khB5HoCpYBQA222wzAMDUqVOtLNPcleutt17O25QpEKRQHllanXEAACAASURBVHvssdRyHjheyWTaBzy3WIDnqOT5FPmtfpg7jd/a8Rue448/3vTqq69ewBZnJi3wpJTzN/J80KGHnd8icw8s92avssoqpvk3hMCrlVZaycoyBa5kg8MV+I3rm2++aZrffqftNz6nzzvvPNM8D2FDCiIrlPCWOlt4TkMn9B7wvLkzZ840zfUJw0F+4To6+uijrWyXXXYx/fPPP5veZ599TIdgly+//NLK2OnAAU833nijab6+7r333sT/gWRAzpQpU0zz3I5M6Hnje9eCCvcO87XBvWO8zGqrrQYg2VvAdWhD6EHm8+2RRx6pcVkOoePAnXy+g8nl3ti/f/+cv6e+w86UfOYoDi6R6uyxxx5F+w6+T/Ocs+EaqVTCPYCDm3iO70K3n58hytUzWx2+n7EzJPz2E044oeTbBFQ9H910001l+f5c4d59Pt/Hjh2b+D+QdCped911plu3bm2a60v1IAshhBBCCCGEEEVED8hCCCGEEEIIIQSKbLHOxGmnnWaaLVVs1Q3zvoWQCAB49NFHTfM8itzdHiwsmQahs7WOw2O4O75x48Y5/IqIBx54ILV8r732ynkd5YTtKWwRDoFSISwNSFpI2LLAIV2s6wo+thySNmDAgPmWretgrkwMGTIEANClSxcrGzp0qGmeR5gDfnj+yzSbezHgoQ98/HkOuTD/bJgTHCh8XtgFjTBnKM9/uSASrLFsp2ULFFsM+VznAKcAD9FhnQ3+bg4OHDNmTOr38fz14R7EcyOzXfWoo44yzQEiYXgQAGy88cYAFoyQo2xwWFSbNm1M89yx559//nyf69Spk+levXqZ5nOG519vqHC7ZN68eTl/jofw8BzdPORAJAO08rE/ZwrcTLvmC50HmYcG1qfjFtr3XMc2bdrUNIclbrHFFqZ5OFcYtsXDt3LRoU7gsnza9rWB2//BAszhVfUlxLeU8PWy4447zqd5SA2fT/fcc4/pyy67zDQPv+JruzaoB1kIIYQQQgghhIAekIUQQgghhBBCCAAlslgz22+/fapOg+eo5HRFTjgN1gXugmfNKcqcMhhST4Gqbnq2nLKlmNNLw3yxQNX8z0AyibWSYcsPz/t58MEHA0gmhLOl8OyzzzadKY02DU6qC4nXAPDGG2+YDtYIXpYtyZy2zDYKto8FOwZbOsvB7rvvnqpzIcz1zbZrHgqQD3xu8vEqlvVEVCGLdUSoO3gYyv3332+aE0w5qZ0toWEZ3pc8ByYP6eBl0hLEBw4caPrkk082ffvtt5vmOk7UHWGeaiA5zzGnjodZDjjFmuFUU54poaHC9lBORef2Tdp5z0ML+F6iuj9JoXMUZ5pnOi3ZvlAbNx9jHvJR6YR5mrnNxm09HiLHcyVzivH3338PIPucurnAw8vWWWcd0zzveJrmZTlFnMv5uLDF+vLLLweQnPll7733LuwHCADJeo7v2d26dTM9YsQI0yFNvbaoB1kIIYQQQgghhIAekIUQQgghhBBCCABlsFjnwxlnnGGaE4HZzsDWrQCnx+26666m2d5x6qmnmu7RowcA4Prrr7cytmCzNZi54oorTK+11loZfkXlss8++5gOycr8mwYNGmSabYkHHnig6fC72e7Itjm2W3IKKSczBps8W8M4+fDYY481zWmowc4DJO3W9ZVg62f7KWtRmchinYTrB9aFstNOOxX0Ob438GwGPFOCKA18r2GL9fDhw02fcMIJAJIJ4WxnXdAs1mFmASA5HI2Hf2WjGLZqvp/zLBEvvPCC6WJZGksJ75u0JP1McDuFSRsOlWn/s6U7LRWbh5ul2egrHT53WecDD6fLNNsH67AMLzt79mzTn376qelPPvnENM9uk20mER66xoncnJwdCFZxUXfwtZP2LFhb1IMshBBCCCGEEEJAD8hCCCGEEEIIIQSACrdYN2rUyPSYMWNMcyLckCFD5vvcRhttZJqTINnWy5bcYJXgtFTWbJPhBLU+ffpk/xH1hFVXXRUAcO2111rZmWeeaZqt148//rjpYD+fN2+elbEFiS2WnDjXvn170/lYxoSoNILFOp90d1H3sAWOtSg9nP666aabmubk0ZBQfu+991oZWxrHjx9fl5tYcey8886mX3vttbJtB3/3Dz/8YHqxxRYrx+YUDW7XhSFmQNUsKTzMi4c6TZ8+PXV9oQ3FpNmnAeD55583nfY93J7idvCCBLfXWa+99tp19p0hiZwt2Jms2Vwe2gAAsO222wKomhlG1F/0ZCKEEEIIIYQQQkAPyEIIIYQQQgghBIAKt1gzq6yyimmeePzGG28EAJx88slWximYbHv55ZdfTPOk7jvssAMAYMcdd0xdR9u2bU0XIxWyvsD7jq3XrAPee9N///236fqYwChEPoT0UqVYC5Gdfffd1/TFF19sOi0Jlu+9Z599dt1umEhl2rRpppdYYgnTG2ywQTk2p2h06tTJNFusQzo3JyD//vvvqevgoXqclB/gdiuzxx575Lyd/fr1y3lZUTtCaj6nstfHhHZRHNSDLIQQQgghhBBCoB71IDMc3HH88ccDSAZD8TyXmd7gieLCx0S9xmJBYsCAAQCSQURCiHR69uxpmuc5DoFGe+65p5VtuOGGpdswkUqXLl1M8zzI9f0+H0Lhqus0eE7eWbNmmeYe9TR3YdeuXU2zG4LX8e2335oO8/DyHLocDCuEKB3qQRZCCCGEEEIIIaAHZCGEEEIIIYQQAkA9tVgzwZbVo0ePMm+JEGJBhId0CCFqhueU7d27dxm3ROQCh0+lBVEtCPA8vOutt15B6+D5e+tyLl8hRHFQD7IQQgghhBBCCAE9IAshhBBCCCGEEAAAx/PXZl3YuW8BzKi7zWmwrO29Xyn7YjWj/V8wRdn/gI5BLdA1UF50DZQfXQPlRddA+dE1UF60/8uPjkF5yXn/5/WALIQQQgghhBBCNFRksRZCCCGEEEIIIaAHZCGEEEIIIYQQAoAekIUQQgghhBBCCAC1eEB2zjVzzk2t7QY459o750bWdj01rP8u51znHJa7zjm3U6xPcs597JzzzrkmtEwX59wU59w7zrlXnXObx+WLOefGOufqbF5p59xyzrkTclz251p8z3T+zaXAOfewc27dWD/tnHvbOfeuc26Qc27huHwF59xzzrmP4v8vH5e3d8796JybHP/XNy6v82NS7TfkfHzyXO+pzrkli7SeI2N9UXweT3bOPeucaxqXb+ice80594dzrjd9dgnn3Bt0XC6gvw11zhU2MWRhv6Onc26ac+4+51x359zAOviOOq2TMnznFs6522Od6Tis6Zwb7Zx7Lz4Op9DfMl0fezvnLizlb6kvVNvnqfVI/LfpcZ0/2Tn3JpVf7ZzrUI5tr4li3ZuLsB1273XO3eaca5lhOav/qewJ/g011FkN9vyuaZ/V8Jn96B7YK64rpjjnXnDOrR2Xr+2cmxjvy3edc8fR5w+Lz/Up8b24SVxeked6KXHOtXLO5TXpvXOukXPuJefcwvHnX4v3+RTn3CG03DrOufEuanc+6JxbLC5fOz52U5xzY5xza8TlKznnni7uL2w4OOfOqfbvGtvE2dpveRzH2+N20pS4Xls6Lj+O7iEvh+vaObepc+6uWv3YCsYl251XOefej/fNY8655Wi5s+Nz/wPn3O5xWfnbnd77gv4D0AzA1EI/T+tpD2BkbddTw/rvAtA5yzIrAnid/r1F/PumA2hC5TsCWD7WewIYT3/rB6BLHf6OnPc3gJ9r8T2J31zX/wHYGMBj9O9l4v87AI8AODT+95UAzor1WQCuyHb+1PUxKfT41PXxALBwtX8vAmAKgEV4H8e6J4BBsV4ZwDYALgHQm5ZxAJaO9aIAxgPYPv53OwC3lvB8eR/AGrHuDmBgEda5SLV/12mdlGEbhgHYPMtxWA3AlrFuDOBDAC3jf2e6PhyASQCWLOXvKdd/1Y9lHvu8pnok9RoEsDaAZ8v9m1O2K6e6qHo9UQfbcRey33sT9X9cdgCA+/k31FBn1dvzO972hYq8zlfDuQpg57BfABwP4MFYLwZg8VgvHZ/fTeP7xDf0+SsB9I91RZ7rJT5eed9vAJwI4JRYrw9gvVg3BTALwHLxvx9CVVtnEIDjYz0MQLdYdwBwD637TgCty71f6mA/51yH17COn2v6d8ryNdaZeRxHrqcGoOqezOWdADxN/34ewFrl3u91cRyRbHfuRvoKVLVRWgJ4G8DiANYB8AmAhVEB7c7aWqwXcVFPzrT4bcmSAOCc6+ucm+Ccm+qcu8U55+LyFs655+M3AhOdc815Zc65bZxzk5xzzZ1z/Z1z98Rvaj5yzh0TL7N0/EZtYvxGZl/6/JHx24m3nXP3VN/Y+C30XS7ulSQOBGBv47z3k7z306t/3nv/qvd+bvzP1wGsQX9+HECXPPZdvlwOoHn8BuoqAHDO9Yn38xR+u8KkLeOiHob3045dzMm0fzeMP7OCc+7xeD2vO+c2i8v7O+fuiN9ufuqc60nf3TV+AzTZOTc4Zb8D0T4bHv7hvZ8Xy0UQ3chDzPq+AO6O9d0A9sthn9X1MWESx8dFXBVfA++Et4yZzl/n3FLOuVHxuTvVOXdIvC+bAhjtnBsdL7dbfE1MdM4NozeU051zVzjnJgI4qNq2dQAw0Xv/N5DYxwCwFOJ97L3/xns/AcBf/GEfEd7ALhr/F47LOAC7uBL01DvnBgFYF8BTzrnTqv2tmXPuRVfVW7JWlvK7XORQGI+oIZjpO7eN9/ckF7lGNojLu8fXw3Pxvj/JRT02k+LrY4V4uTHOuevj82Kqc27blO9oDGAz7/3bQI3HYZb3fmKsfwIwDcDq8Z9Trw8f3U3GANg7t71cHNLqYufcPi7qJZnkovvAKnF5f+fc3c65cc65Gc65A5xzV8bXx9POuUXj5bZy0Vv8t5xzzzjnVovLx7jIAfQmgFMyfU+17Uvs80Lw3s8AsKJzbtVC11GHZLo3J+oJF/WGvO6q3uoH50Hqvdo5d2Z8XN52zl0el6Wug4mP0dYp25mo/+P6rBeAi3mhGuqsspzfhRLXRx8454YAmApgTefczc65N938vSS2z5xzPzvnLon3++sZzun1AfzhvZ8DAN770d77X+M/W3vFe/+n9/6PuHxxVDkJXfzfUs45B2AZAF/Fn6nkcz0jroa2jsvcTh0TXyNvOOc+dM61dVGP7oUADonr8kOcc+1cleNkUlynVMfOb+/9h977j2L9FaKXESvF39sBwMPxZ7h90xLAi7EejaieD9Rp+ybLvusY/+Z3XNT+W9xF7fdH47/v65z7zUVOviWcc5/G5c3jOv2tuL4P7cuM9+P483fG3zXJObdzXJ5wkDnnRrrICXQ5gEbxcbkv5XeltZvna19XI+txjP89L/4OB6ARquqp1PorZgSAQ2s+GsXBRW2UqfF/p8ZllzvnTqRl+rvYuZa2r+LzYppz7ta4znrWOdco5euqtzufDRrJ56d9AQz13v/hvf8MwMcAtq2Idmct3g40ize2dfzvOxD3dgBYgZa7B8A+sR4PYP9YLwFgScRv7hH1zr6F+E0KgP6I3io0AtAEwExUveUMvYxNEO1Mh+hN9Ieoevu5Qvz/uwB0BnAVojdzLuW33B22sVr5dGTovQPQG8Bt9O+FAXxbV28yUO0NF6K3MbfEv32heB/uFP/t55qWyXLspgM4OdYnhN8I4AYA/WLdAcBkOk6vIrrRNgHwHaITeSNEF/6i8XI3ATgy5Xe9BGDTamXPAJiLqBdh4bjsB/q7C/+Oz5/v4nPlKQAbl+qYZDk+BwJ4Lt6GVQB8jqgHMNP5eyDojRiAZaufg/HyYwEsFf/7TAB9abkzMmzbBeGYUtkliK6pqQBWqva3/qCeS9qXkwH8jPjNH/3tOQBblWg/8/7ojviNfnyudYv1UQAez1J+F6LrYb5eNFBvIqJGYnjruQuAR+i7P0bUk7sSgB8BHBf/7VoAp8Z6TDiuiK69+d5SI+rpeSSlfL7jUO18+5zOpdTrI/53FwA3lOL4xN+XqS5eHrCpBf8L4Br6nS8jqjc2B/ArgD3jvz2GqLG4KKJ6ZqW4/BAAd9A+vom+P/V7atrnqLke+QzARET3p2OrredWAAeWat/muP+boeb6/QxadgqAdrG+EMB1sU67V+8ZH4PQK7lClnXchbgHOT5GW6dsa6L+R3Tt7I+UHh1kqLNKfX4X4dj8i7gnpNp+XDjeT5tV32fx8QztqCsBnJey7h5p53r8t4H8GQBrxsftVwAnUnlnAPMQ9YqNBdWPlXiu57i/822njkFV3fQfAM/HujuoBxnRvSWsd2nM70RaDMDXGbZrW0QvOBdC3A6odmymxvp+VPVcHhD/lhXjf68O4J1S7ztE9cFMAOvH5UMAnIqobfNpXHY1gAkAWiPq7XsgLn8BVb2v2wF4MdZ3IfP9+HRU1fUbIrrvLZFyPEYCaB/r1B5k1NwmTu1BzvU4UtmdAGYjeqGxJJWfiKh3dGbYB3F5awAjSnAtbAXgHUQP6EsDeBeRW3YLAC/Rcu/F52BN++pvAK3i5R8C0DXl++Zrd1a7drrGeiB/HsDtqLpvlLXdWdse5Jne+1difS+ANrHe2UVv8N9B9DC1cfx2bXXv/WMA4L3/3Ve93dwoPhD7eO8/p/UP997/5qM3oqMRnYwOwKXOuSmIrAmrI3oA6QBgmK96e/o9red8RA8cx/l4z1ZjNQDf5vqj4zdYRyN6QEH8ff8A+DPDW8S6YLf4v0mIGm8bAqjuya9pmUzHDgAejf//FqKLAfHf7wEA7/2LiN4mLxP/bZSP3v7MQfQ2bRUAHRFdkBOcc5PjfyfGmcXMt++997vH5YsjOq6o9nePqjdJExFN/L05oof4x2m5Uh8Tpg2im8I/3vvZiBqC2yDz+fsOgF3jN9dtvfc/pqxze0RvlF+J92k3RNa3wIMZtiVtH5/rvV8TwH0ATsr2Y+Lf0QrRW79tnXOb0J+/QfTyqpzsgKgxAUTnaZss5UBUX/yTZb3LAhjmovGQ1yJ6+AuM9t7/5L3/FtED8oi4/B1UXTcA8AAAeO/HAljG0dibmHzrn6URDT841SffTCP+Hr4+gNIfn0x18RoAnonvC32Q3JdPee//QrTvFkaVoyfsyw0AbALgufjcPw9JBw+f+zV9T6D6Ps9YjwBo473fEtED4okuzqqIqYRzP42a6vcHAcA5tywia+BLcfndAHaq4V69C4A7w33be/99pnXksZ12HJxzrQA0D99bnRrqrEo9BpmY4b1/nf59sIt69CchOlfTxh3/iaiBCiTvy0xqPeKc6wpga0SdBAAA7/1M7/1mAFoA6OacW8VFTo3jETWYmyJ6gD6bVlXf9nMg53YqfSatDVSdVwAMcJHTazlf1TsWaALgh+ofcpHz5R4APbz3/2bZ9t4A2jnnJiF60PwSQLhnleJ4pO27DQB85r3/MC6/G1HnzN8APnHObYSorT4AUV3QFsC4+L61I6L76WQAgxGds4FM9+M28XfDe/8+gBmIbM6FkEu7uTp5HUfvfQ9Ex2Uaohe5ofxG731zRM8N59GqSnVdtUE0nOUXH/XMPgqgrfd+EoCVnXNNXZSrNNd7PxM176vPvPeTY51vfXQuogfs+Xr3q1PudmdtH5CrP2x659wSiHoLO3vvN0X01nGJLOuZBeB3RBVzjetH9LZ4JURvDlohelOTbf0TAGzlYttjCr/lsA4AgIusxbcB2Nd7/121Py+O6HeUAgfgMu99q/i/Ft772/NYJm3fBoL96h9EbwWz8Qfp8BkH4G767g289/1TPpu67733vyOytARL0WxXZalcDdHFAe/9vPhih/f+SQCLumTIWCmPSS6knr/xzWZLRA8EFzsKCSIcgOdon7b03h9Nf/8lw3fWdH7fh6j3Oie89z8gelm1BxUvEX9HfSPT/mIuQvQgvAmAfZDcj3ze/0v//hfJ66amaw3Ir/5ZFNHD8X3e+0fpT6nXR0ylHJ8bEL3x3xTA/yFlX8YNjb/oRWbYlw7Au3Tub+q9340+z8eypu8JJPZ5TfWI9/7L+P/fIOrRZpt8pezb6tR0zuVy3pcKPg47ANjaOTcdkaNgfefcmJTPVK+zKvUYZML2v3NuHUQPQR3jB9ZRSD9f+ZrIdF+erx5xzu0C4FwAnXyVrdrwkUV0KqKHmFZx2Sfxdz2E6IEmUN/2c6CQdmrWNpD3/nJEDpVGiF5ab1htkbTjsQyiY3wuvST5DsByZBddA9GDMLz3X3nvD/Deb4HoOIZ7MFCa45Ht3lWdsYheJP6FqAOgTfzfOETPGz9QHd7Ke78RfTbfeulvJJ9hcrmH5tJurk6ux9GIH/SHIr1tNRTJIYKVcF0NQ+QeOQRVL5tr2ldpbf7qpO237oiGw3Sh+uxLRD3WATv/A+Vqd9b2AXkt59wOsT4c0U0t7JA58RujzoCNmfvCObcfAMRjFsK41x8A7AXgMudce1r/vvH4gxURWeAmIOrR+cZ7/1fckxt60F5ENKZqxXj9/DD8NKIxBqMy9CZOQ/QmtUZcNH7xUQBH0Nuz8LcVAcyJe0Hqgp8Q2TkDzwA4ylWNQV3dObdytc/UtEzasauJcYjHu8THaE5a7xXxAoDO4ftcNIZ57ZTlbN+7aHxuaOQvguiceD9e7glEPaaI/z88Xm7VeLwHXDS+cyFEN5xSHBOm+vEZh2i80sLOuZUQvUl9AxnOXxelsv7qvb8X0Zv+LVPW+zqA1s65sL+WctG4s2wkzm+XTP/bF1X7OBUXJWYuF+tGAHat9pn1ETWyysmrqBrH0wXR/q+pPFeWRVVl3b3AbQvjz9sA+NHP7w7Itf5xiOxH07z3A6r9OfX6iCn18clUF/O+7Jb2wRr4ANF4vR3idS7qnEvrGc71e6pfE6n1SHyNNY7Ll0L0Rp33ZSWc+2lkrd/j83Cuc65tXHQEIqtdpnv1cwB6uKpxiCtkWkce22nHwXt/s/e+qfe+GaJG9Yfe+/bxd9VUZ1XqMciFZRA9GPzoonHFe9ZiXdXP6S0Q9dJ1il/uhPI14nocLhov3gbR9fUlgJbx/QqI6vlptP76up9zbqdmIXGPd841996/472/AlHbNPGA7KO8moXjh3G4aBzzYwCGeO8fpuU8osZ/2AZu3zRxzoV2+tmIbM6BUhyPtH33AYBmoR2C5DU/DpHd+jUfOatWRNTjPDVuL37mnDsIiO5ncY9lNrjtuT6AteJtmA6glXNuIefcmki+uPwrfplcnUxt4urtNyPX4xj/ntA2c4jCuN6P/831114APqJ/l+q6GgdgP+fckvG9bH9UtYceRNRO6ozoYRnI7RmjJqrXR3sAOANRffQrLfcEgEPj+8w6iHqp36iEdmdtBzh/gMhydgci3/rN3vtfnXO3ItrwrxFVHIEjAAx20bQMf4HChLz3s51zeyMK4DkqLp6CqOJoAuAi7/1XLhp0P8JFtpg3Ee8w7/27zrlLALzknPsHkS2gO61/WNzQecI59x/vPb95GIWop+E2AHCRZeYMAKsCmOKce9J7/18AfRFd8DfFbam/vfcheGTneD11gvf+O+fcKy6yej7lve/jIivLa/G2/AygK6jnyHv/bIZl/kHKscuyCf0B3OEia/CvyNLA9d6/55w7D8CzcQX/F6IxGDOqLToK0cuP5xGNjXjCOReCQ0YjGjcORC84HnLOHR2v4+C4vDOA451zfyN6m3QovZmq02PCVD8+iM6fHRCNafSIxv19nen8BbApgKucc/8i2lfHx+W3AHjaOfeV935nF72BeyDeR0Bk1Um8rEnhKcT2+JjLXRQ29S+ifXkcED0kxNu0DIB/XRTi0BKRVeZuF4WsLQTgIe/9yPgzqwD4zXv/dT77qw44GcCdzrk+iGw9PbKU58qViH77eSj8XPrdRRa5RRGNg07gvX/fObesc66x9/6nGo7DZojq0HdcZFEDgHPiHs9M1wcQXQdslaxTaqiL+yOy181F9BC9Th7r/NNFUwb9z0W23kUAXIdoHFV1sn5P9X2ODPVIfH4/FtefiwC433v/NGC9+S0QHatKI9f6vRuAQfFD76eouj7mu1d77592kQ36TefcnwCeBHBODevIBa7/ayK1zoop6fldTLz3b8d1w/uIxia+kuUjNTEWwDXOORffA69CNNZwWHz+fu6974RoSNs1zjmPqJfoau/9OwDgoiCesc65vxDt5+5xeSWf69nIt52aidEAzorr3ssAtHHRS+5/EdVDT6V85llELyCeR1Qn74RoeFr3+O/dfWRVPRPAUOfcxYjqy9BT1x5Rx5FHdHxPrFp1Sdo3afvud+dcD0Tn1SKI9l1op41HNGRsbPzvKQBWpTZZFwA3x/fTRRH1pmYLSrwp/sw7iHqNu3vv/3DOvYIoH+I9RA9jE+kztyBqu0/03luQWaY2sff+k+rt62rbkPU4xr/1bhf1Lrv4d4V23EkucnP8hShfh9vPJWmneu8numhKqTfiott8ZK8O9+zGAL703s+Ky2p6fsiF6u3OgYgcnc/F63vdR8Ne33XOPYToOP6NKBPhHxd1lpW13el86pDc8uOc649oYP3VJfq+lwHsTfaVfD//KKJI92wPK2XHOdcMUQjRJlkWrXPiN0OjEQVB5Hrh5bruenNM6hrn3GOIHtI/yrpwfus9DcC8HGxKCyQusoj29t7X2LCM9+NP3vvbivz9qyB6qOtYzPU2BGq7z51z+yOaduv84m7ZgkNt63+d30mcc9cjCvzJ9sIh3/XWy3O93G0d59yWAE7z3h9RB+sei2io39ysCxe2/maokHZiuamr4xh3dLyEKOei+hj2ek99b3fW1mLdkDgdkXUjb1xkuXhcD2L5E/fk90PVdDVFQcdkPs5CMhCjWPyAqumFROHcjOS4nmKxFqK6TcxPbff5IgCuKdK2LJAUof7X+Z3kUkSJ48VG53oB+GhavtEufYrLgnGRDX5AICm2LAAAIABJREFUXT0ciyR1dRwR1V9nNcSH45h63e6s2B5kIYQQQgghhBCilOQ1BrlJkya+WbNmdbQpDZfp06djzpw5rrbr0f4vjGLtf0DHoFB0DZQXXQPlR9dAedE1UH50DZQX7f/y89Zbb83x3q+Ufcma0TEojHyugbwekJs1a4Y336yPGQ3lZeutt86+UA5o/xdGsfY/oGNQKLoGyouugfKja6C86BooP7oGyov2f/lxzlUPqi0IHYPCyOcaqG2KdYNg+vTpAIApU6ZY2dprV81ItPnmuSTRC1EcfvihKidu0qRJpt99tyqw99dfq1LywzCJVVdd1co22aQqV6Nly5amGzVqVNyNFcaDDz5ounXr1qbXWGONcmyOyMBTT1WFzXI9z9eJEPWBGTOq2tpvvx2FAf/4Y9Uscqz/+qtqtsP999/ftHqhREPlk08+Mf3MM8+Y5vN/tdXqYohsw+CPP6oiOgYPHmz6t9+qJgFaZJGqx8gdd4ymTd9226oZtxZeuNjDtkuHQrqEEEIIIYQQQgjoAVkIIYQQQgghhABQjyzWnLb97bffmv7mm2/mK/vggw9Ms22a9dSpU02zDSnQpk0b0+PGjSt0s+sNwbI7cWLVXOtffvml6a+/rpqPe5111jHdsWM0/eRSSy1V15vYYPjpp59MX3zxxabvu+8+AMn9XgwWX3xx0/vtt5/pXr16mWZLjEjn33//Nf3ee++Z7tmzJwDgpZdesrJDDjnENB/jddddty43sV5ywgknmF5iiSUAAAMGDMj6ObZ53X///QCAbt26WRlbv5gzzjjD9BZbbGF6yJAhOW6xEHXP339XzfzSt29f03fccYfp2bNnF7Tu3r17mz7ooINMDxo0CACw3HLLFbReIUrJd999ZzoMQZs2bZqV3XTTTaa5/X/ppZeafuSRR0xvt912dbKd9RV+ljrllFNy/twKK6xgunv37qa53qkP1nb1IAshhBBCCCGEEChRD/LMmTNNX3vttaa5VzJo7gmeM2eO6dBTDCR7crKx8sorm95ss81Mcw9P6IkYPny4lb3//vs5f0d95fPPPze92267AUi+McqF0DvZoUMHK7vttttMN23atDab2GCYNWuW6bCvgeR5Fs5J7s3l4KCNNtrINL/hD733IWwOSDokXnnlFdN33nmn6Yceesh06MW77LLLrKxx48Y1/qYFDX7rfP7559e47AMPPGCajwW/xV6QmTBhgumbb77ZNJ9/2eCegv/+978AgCWXXNLKDjvssNTPcSgRb0e4ryy0kN4bi9xJCwJiV0ShPP3006b5umC31gUXXGA6BA/xvWHZZZc1/fvvv5s++eSTTXO4YFgHt48WBNihGO6X7CIUxefPP/803aVLF9PBxch///nnn03PmzfPdLZnAe7J3H333U3zPXn77bc3HRx2V111lZW1aNGixu9oiAwcOBBAssc3H77//nvT7Aa78cYbTQfnHQBcdNFFptnxWG7UEhBCCCGEEEIIIaAHZCGEEEIIIYQQAkCJLNYccsUWaw57CvNRbrrppla20korpWq2RwQLRdeuXa2Mu+jHjh1rmgfj33rrraaDvWaZZZaxsiZNmtT8oxoAHNgUwg4ef/xxK2NLLw+o5/3/5JNPAqiyZADAzjvvbHr06NGmFzS7NQ8LYLsW20842CnMIVcobB1lvffee5vmsJcLL7zQ9NVXXw0AeOKJJ6yM7dghjG1B5vDDDzf93HPPmX7ttdcAJG16HLCz1lprlWDr6hd8Hq6++uqm8wkC4YCtMO/39ddfb2WZLNZHH320aZ4P85ZbbgEAHHfccTlvgxDcvjnxxBMBJK9/thLmQ7t27Uxnuqf269fPdJjfe80117SyuXPnmubwRx6esMoqq5gu9B7E9u0QSsjXGbf1KpFRo0aZ3meffQAAjz32mJVxW+muu+4y3ahRI9MLmi29tpx99tmmuW1+5JFHAkgOl+G2+dJLL216xRVXNL3hhhsCADbeeGMr4yGWDAc8su03DGXge8sNN9xgmgOnGgJ83R5//PGmwzneuXNnK+N7M7flua4Lz1tc5/G+5usltDmBZJ02dOhQAEDz5s3z+CV1g3qQhRBCCCGEEEII6AFZCCGEEEIIIYQAUCKLdfv27VPLjzrqKNPbbLMNgOScxD/88EOqnjFjhulgg+E00jfffDP1+zit7sorrzR94IEHAkhaghZeeOHUdVQynAB++umnm2b7AtsZJ02aZDok9HICJqctH3DAAaY5lW6HHXYAkLQg7bLLLqbZljpmzJgcf0nD4LrrrjP9xRdfmB4/frzpVq1alXSb2OLCyagHH3wwAKBHjx5Wtueee5q+/fbbTR9xxBF1uYkVC9dNr776qmm2GKUxefLkOtum+sQvv/xi+oUXXjB93nnnmebzMxvOOdOnnnoqgKo0awB4/fXXTacllQLJczxY/jp16mRlC9qwEJE/oe4EgD59+gBIpr+yzfPQQw/Neb08i8CLL75omts/jz76qOkwC8dHH31kZcsvv7zpMAwBSKZs8z2aU3+z8euvv5rm4QxhmA5btzk1uxL56quv5ivjtHCGh3FwwnGaxZrnqQ4WYKAq7RxIzloRePvtt02zzZXt/Kuuumrq9lUyzz77rGluR/L1wgnSdQXfZ/i7Q9uG20GseaYbHqLGQ0PrE+G+CQBDhgwxfcUVVwCoqs+A5P2W+eeff0x369YNQNJWzfBzHNvVeWjflltuCSBpfechtKVEPchCCCGEEEIIIQT0gCyEEEIIIYQQQgAokcWabWqcjHzNNdeY5q73bKSl2LEd6X//+59ptgazvTgNtgpU0mTV2QjbzfYttvEedNBBpl955ZXUdfz0008AkvYt1nfccYdptsYEttpqK9O9evUyzTYUtlhmsi/Vd/744w/TbEvm87DUtupcCKmNfH7weROSJQFgscUWM70gJXdysiXbrU866SQAwH333WdlvI9mzZplmuuY+jiMozbw7/3rr79Mc1ppoQSb6FlnnWVlfB9gizUzePBg0yH9NCQRA8kkWyHS4PM3JMFedNFFVsb24zfeeMM0D/NaZJHcm2Jhxg8AOO2001J1XfHpp5+a5nsaW4IDXF9WOi1btpyvjH/rW2+9ZXr69OmmOZ37+eefB5C8N8ycOdM0t3F5thBO6w3t2QcffNDKeHgWpznXF3g2j2DBBaqstABwySWXlHSbMhGGBXCqOadYn3vuuaZ//vln0zyrRaXzySefmOZ2PQ9POuaYYwAkh48tuuiiqeu76aabTIdhTffcc4+VzZkzxzS3iTkNPg0eyjdixAjTDzzwgOmFFqrbPl71IAshhBBCCCGEENADshBCCCGEEEIIAaBEFmuGk5G5ez9Yj3jib05UXnbZZU3XlTWRbX/5WJ7KTdiPnHR5xhlnmObU1p133tk0212ChXaNNdawsptvvtk0W0uy0aZNG9Ns0eBU2Y4dO+a8vvoET3jP1iJODa1k2PrOyYJ83fKE8u3atTNdH1M1C4VtlWuttRaAzLZhtlIuaLZqZoklljDN5wqn7hZKSCXlxFG2xnHiLh+bNddc03RI8ufE3Yceesg0pxULkUaw53MSLw+3uPbaa01zEj5bTOvq3jhv3jzT+Vh1n376adOceM2Wy5122sl0aMulpTOXgz///NM0358HDRpkmq3vgeOOOy7runkIRj7DMXgGCdZhmAe3P3m4X30Z+ue9N83tTB5mxzZyvkYqAU5s7tmzp2k+T9h2X5/o37+/aR7ydcstt8yn+Z7N1zjPVPPwww+bDtd8ptRpTs3mIQw8w83UqVMBJOtKvg+vt956pi+++OLU7ykW6kEWQgghhBBCCCGgB2QhhBBCCCGEEAJAGSzWm2++uemQnAxUWd3KadNkOwEn1FUiH374oek0mwHbOlk3a9YsdX3B7nXUUUdZ2WuvvVbQtm233Xap5XvvvbdpTv1jS3Z959ZbbzXNk8e3bdu2HJtTK9jmxemDG264oenrrrvO9OWXX16aDaswQvIl28qC7RoATj/99JJvU6XDlv0777zTdJcuXQAk7Vz5sM8++5hmmytbuP7zn/+kfjYMgxg6dKiVnXLKKabZVrbCCisUtH0LEnwfSEtIrQ2cJPzCCy+YPvroo2u97toQ6gK2GLKVlM/1Cy64wDSfWxtssAEAYIcddrAyTmHff//9Ta+88sqmzz//fADJoT18P+f77AcffGCahxyMHj0aQDKRnxN92TbNdmUefhC2u5y2WU7I5WT72bNnmw52ZgDo3bu36XvvvRdAcjjaHnvsYZpnbuBZOkK9wjbor776yvTuu+9umu+VbFUfN24cAOCpp56yMp4Zg4fAsV2Vk/d5lpdyMXDgQNNs0efEY05TZht8WqJ4JkJyOACMHTsWADBhwgQr49lc5s6da5rPTU4iDwnkXI/wdRqubwD4+uuvc97OcsPXO1/b3GZh6/Vqq60GAPjss8+s7NlnnzV95plnpq4jwMNjeXadvfbayzQ/D6y77rqmQ73CFuvQLgCSw1Fat25tes8995xvO2qLepCFEEIIIYQQQgiUoQeZw7aYMEdcOXuQuWeM345WIu+//77pzz//HEByTjB+W8khODy3MQd1hECb7t27W1mhc4zxG2l+e8tvTfmNc3hDXZ/mTaxOCGjiXnf+7fUdfsvKx46DHfr27QugOPPa1ifS6qzvvvuuDFtSf7jxxhtNT5482XTnzp0BVPUGAMl6ORvc09a4cWPT7FjJ1IMc6jueP5nnd+eeNJ6jUVTBvQnTpk0zzb1FxYADPtkpUO4e5ECvXr1M33bbbaZ5Tlt2gfHcniNHjgSQ7BnnHlHuFeP9wKFfAb4GODCTr7mPP/7YdOgZ4jqNe3I4oJEDfjiw6Oyzz55vO0pFv379ACR7dhl20HEbiR0hoYeKe2ubNGlimsP/uB5Ia9uutNJKprm91b59e9PstAjnDW8/h6Wyq4vbF9wz+8wzzwDIr94sFiFgiUNi09p61TX/rnPOOQdAskeT6w++Frg3MfQK837mYxKCaIFk+75FixamQ+8/r5fdYHxd8LzW3MtfiUFq11xzjWnuPf/3339N8zzqaSF+HCbH7ZvgXAGqzlWeC3zIkCGmBw8ebJqvP14m3Pu5F5rr0Hfeecd0OFeApMuDQ9Zqg3qQhRBCCCGEEEII6AFZCCGEEEIIIYQAUAaLNXebM9wlXy422WQT02xr+fbbb02zZaacdOrUyXQI7WD7Ftuqed4wDvho3ry56TDnHw9679Onj+kDDjigoO1kWwZbVThUIoR6hHAMoMpqWV8IdkK22rRq1apcm1OnHHvssab5mL388ssAkgFMDYlgHwOqwlQAYMSIEfMt++WXX5pme++uu+5aR1tXv+AgmeHDh5sO4Vw77rijlT366KOm2ZqYBgfecMgOH4NsNG3aNLWc57lu6LBVOh+7GlsTOYSTA5GKsR08h2am4MlystFGG5k+7LDDTPMwIw6eYfsn68D6669vOi0UBwC+//57AMn7Pd/jecgUh/awTThYrDm0isOgmBdffNE0hywVGrBXKL/99pvpUJd06NDBynh/zZo1yzQHTxba/mSbc7Bkc5DT6quvbpoD03jOZN6O0NacMmWKleUSBhWG2QHAsGHDACStr6UihIv9/vvvVsZtaQ7rY2sznzPBXh7C6gDg+uuvN502ZzVQZb3mYYRs92fbOg/L4Pv6nDlzAACvvPKKlYXgOiDz8BwOf+N2bqUQ2mZA0lbNAVr5zI2+4oormuZ528Ox5mEZvM94COJJJ51kmu8PwaLerl07K+MAZbZV8/ZzsF2m45Qv6kEWQgghhBBCCCGgB2QhhBBCCCGEEAJABVmsORGuXLDFmnn33XdNZ7P4lQO2IBZKsDD06NHDytgCxjamQuEETE46DsnZbLtmm24+1o9y8fbbb89XxnN+NyQyWcffe+89AA3LYp2LbSdYqjjpm+2lF110kWlZrOeH561caqmlACTttJx2ySmYnLgfYHsd2ybZWpmNTBbWYiVjVjJh+AQnhbItLhucRsvnfT6p3zyXPFshOfWZU235uqtE2G7Ic8KGYU1AVfJwJnjoDtsN+b4c5oZu27atlXGiLtsiea5kTqNOW/b11183zUnYDz/8sGlOxuUk+VLA50K4Dz/xxBNWxnOjZ4L3Y5i7mOuMXHTa59gqzeW8HzlBO6Rl8xzYJ598sumtt97aNFuvDzroINPlvP+m1ZE8nIaTtfneykPxwnCYSy+91Mp4yCAnxHN6ehgKwLMQMHwsuK3J5WnwEI4wP3B1+NhWisWahwTxkAq2WPOwC54ZJ58EdL7nBvjZgYel8lARnqmC0/jDOcT7fd68eaZ5+CWny4f0f0AWayGEEEIIIYQQoqjoAVkIIYQQQgghhEAZLNZst2A4KbpcZEra5JS7SrRYF4Nu3boBSFqTsllPivF9ADB+/HgAybRDttywrlRC+iHDk8o3JBo3bmy6UaNGpnny+IYCJyZyMu0LL7xgOs12xRPbH3PMMab5XOaEzQWNgQMHmmYLYbBM8fXE+5eHgARLKQD069cPAPDggw9a2UsvvWSarX9XXHFF6neHYR9sL2YqMS150qRJpg855BAAyQTWXGZd4CE6wd585ZVXFrQ9nOpbKB9//LHptHoVAA488EDTnNRciXCq8TXXXGOaU43vuece02l2dE4FZtv0kCFDTIdhamkp2NU/x5Ztvr7CPeuGG26wMra2//zzz6nrZtsrD58qBbxvAvxbc4HvY+F8qvTzimdKYEL9td1225VycwAACy+88HxlbOnlYTFXX3216TFjxpjea6+9AACDBg2yMrah//LLL6a5zRiGtI0aNSp12yZOnGia27Z9+/Y1vffeewNIDjFYe+21TYfZSqqTS9J4qWFbOh8Dtu/z/fLuu++ebxm+34b7C5BMrWdLezjnMt13uG7nGVDCMQeqhqdxcjlbsI8++mjTnHQ+efLk1O+sDepBFkIIIYQQQgghoAdkIYQQQgghhBACQBks1pnSGoOtiG2HnKS26KKLmuYktGAPWn755a2MUx55UvHDDz889buDHYBtR2zJq0T7RF2x5557mmbrHVtgim0zDymfnJbK9pvWrVubDhaYSiPN5sXnoag/sH2IbTuXXHKJabYdtmnTBkDStvXf//7XNNdBbNlec801TXft2rW2m12vCJZoIDl7wJtvvgkgadti2y7PgnDBBReYDsdjjTXWsDJO6OQkfF7fddddZzokON9yyy1Wxuvbdttta/5RZYCTQIOljpOkc+HZZ581vfLKKwMA+vTpU4StK4xff/3V9LLLLpu6TO/evUu1OUWFLaZsq2aLcrCQrrfeelaWyWI9YMAA0yG9mpOOGU6a5vVx+emnnw4gefy32GIL0//3f/9nmq8vtj2WmrR7Lw894Pq8UtsPhbD66qubZgtypiEipYDPiQCnpHPbne+hfC8M5zdbrNlK+9BDD5nmdmI4N3l4E8PJ7Qzvx2222SZ1mQAPl2Bmz55d4+fKwaeffppaftNNN5lm+/h9991nOliawz2xumbCzBMAMGLEiBq3KdQv1T/H9u5gb+fzmLeZt5NnCwn3rmKiHmQhhBBCCCGEEAJl6EHmtxAcdDN8+HAAyTdM33//vWkeYP/iiy+a5l7fbNx44435bewCCPeyn3nmmaYvvPBC08XuQQ5vDC+//HIr22OPPUzzHH8831ymObXLQTgP+W18Q503la85nmsv32CUSoWPIZ9jPFc791qEN7XcU8wBUdzLwyEfPM/jgtaDzPcBvu4PO+wwAMnwIQ7H4qAQ7ikNYSOZ6gSeG5bnouZjEOo4Xi8fOw7yqRTS5gD+/PPPTbOzKhPs3Cl0DtvHH38cQDL07LPPPjOdT6/2SSedZDqXOWyZ0EvEITGVVA/ztnBPV8eOHU0ff/zxNa5j5syZprkXjsPn0uB6jettJswlyz1pfO2k9RCWm7Q24Kuvvmq6f//+prnHKV+nRSWz6aabmi5nD3JaSFfaPNtA5tDDDh06AEierxwkx3Mf85zPYe5bvjfz/YCfJ1q1amX63HPPNZ3Wy8zPHnxf4t5kDkbM1NNaatg1xXDQHt8fuN4N9eehhx5qZeyI5H3Mvf9hHnJ2/7L7lEOA2SXGoWgBPqc5jC3UUUDSfVYXIbGVV9sJIYQQQgghhBBlQA/IQgghhBBCCCEEymCxZhvmzjvvbDpYrNk+nQkO7ggBEmzXeP/9902z9eHOO+80zTaInXbaCUDSbjB06FDTPOdiQ4fnMGSrF1sReS6zFi1aFO27d999d9NsHWSrHs/xyHaNchMCAjgQZO7cuaZzsTrWFyZMmGD677//Np0pHKY+w8EPbL9iC1GAbUDDhg0zzcF3W221lWkOm1gQYAs6WzjZ2hWCWXiuxscee8w0zyPNYVtp8yeznXXcuHGmOUiEj+/+++8PAJgxY4aV9ezZ0/TgwYNNB0sxUNw6MF/YEh2ssJls5nytsr2U66bOnTsXtB3hfsnrLdTCyoE8rDMxb94808Hud//991tZpd6/1113XdM8Z2n4PXx+h/mpgWT7JsxbDACdOnWq8fvYIplpaFo4Zu3atatxXZVE2m/hEECec70h2aoZtqOW876SbR7kXGjcuDGAqnY5AHz77bemw7MCABxwwAGmeahIgEMW+d7A9TcP2zn//PMBJO8dPNyPfx/XlTynb7AflzukNZO1nYd57bjjjqZ5+EQY/sr1yyeffGKafy8HaIWwZQ4j5TAuhoeHvPfee6ZbtmyZunyA7wkcZMi/K/z2tPMxH9SDLIQQQgghhBBCQA/IQgghhBBCCCEEgDJYrBlO2wy2MLZEjxw50jQnKnNy2Y8//gggOTcaW1uZ0P1fnalTpwLIPI8WzxW2IHHiiSea5vnm2Hb45JNP1sl3c8IdJ5nyOcGJ1pxyWA7SEhmnT59uuiFZrDmVkG05bIutj4TjFeY1BoCvvvrKNFuCwlylQNWwEbZVM2zZZZtxsAUDVRZg/u5KSt8tFE5UZTuw9z51+fCbeV+zfTDMmQ4k0/T5nExj3333NR2SsoFkenCwX37xxRdWxsfj3XffNc3LlNNizfcsnhM5Db4+2Y6bbd/lQkhtDzb1QgjzH2dKL+XEWobnIA1DXPK1dZYbtv6GOW15Pm7+7cccc4xptnlmS5jm4W35zP5R6aT9Fh4qxim7DZX/Z++8w6Qoui5+rihKUAyYUBFzRrIBAxLMCibMiIg5R4yIvkZ4FTGiGDBjxIQEQQkGVHJQMYJZwKz4vab6/uiqu6dnu3dnd2d3Znbv73l4OFvT3dPToeKpW/zOhPpvPupH5a2DXBHYGs8Wa86TOaJ7aAvwmtAcbZntthzlfurUqaXO9Y8//tC0xo0bJ54fR3jmFXLCFB5efaUmCVGq+fyYtLWNuV311VdfAYhfa36n0o4RpsjecsstmsZ1ds7nOIo/3+uOHTsCAPr27atpPXv2TDyPtLZesNOnrVudLTaCbBiGYRiGYRiGYRiwBrJhGIZhGIZhGIZhAMizxZptasHGzHaGtIXEBw0apLpNmzalPufIZhwpku0C/fv3V928eXMA8WjJTL6j0eULtuWwLXH48OGqn332WQDxaIK5YP/991fNEYM5gudRRx2l+rXXXsvp91cUfs4CbBMN0daLFbZJ3Xfffaq7deummqPLFyPBosW2VY6Q++uvv6rmCOocuTwJjpKZRojYOWvWLE3bfvvty92v0OGI52yrDpZcIG6Dmz17NgDgmWee0bS3335bNUfW52kLIVoplylsxbrttttUhyipmQQr2HHHHZd4zhz5lO3dxQJP+UizplWWhx9+GEDcpldRwjPx6aefalqDBg3K3e+nn34qlZYWybtYYasg/16eflQedcliXb9+/TycSf7YaqutSqVxZPSaslgnRQ2urMU6m2j2a6yxRqKuLOH802zVTNr0wqraeqtKqEPwqhsM1+X5XHlaY5iiwis+8NSOIUOGqOZytnPnzrH/gfj0kOnTp6ueMWOG6lGjRqkOEfuPP/54TTvnnHNU8zSeb7/9NvPnxdLNYm0YhmEYhmEYhmEYOcAayIZhGIZhGIZhGIaBAopiHaLCZhMx+uijj1YdhvfZCvfxxx+r5miWHO2SufvuuwHEh/kvueQS1WxNqqtcc801qtlqGCJds7Vu8803z+l333jjjao5Gi3bNIP9Nc0+Wd2E38yWjjFjxqjOxmZbyAQrPRC3avIi8cXIggULVHfo0AFA3DLUtm1b1Rztd++991Y9btw4AHGrcBps/WObdpjmkWSVK2bS7HX8OzmiaLBjXXjhhZrGkcQPOeQQ1Rx9NMkyzJHG99tvP9Wcz19++eWqg8WMoz2PGDFCdbhHxQpHZs31tKGuXbtW+RiPP/44AGCVVVbRNI58nsbff/9dKm2dddap8vkUEmx15HtXkevOU9ZyEbm8UEjKd+vatLik6U0hmnFNkmSx5nyn2AmrTQDxeimv7BKmS+WLMN2PbeIcPXrmzJmq33vvPdVcd+X2T4CjTvM0S57SGqbEcCRxnmrI0yG4rXfaaaeV0tOmTUv87kcffbTUuQHxVT9yNcXGRpANwzAMwzAMwzAMA9ZANgzDMAzDMAzDMAwAebBYsx2Kh96DrY2H9tlWxLZeju4aLNRpEdvYchui1GYSrHNs1WErZJJtpK6x3nrrqeaIsMceeyyAuK1k7NixqnMRiZcjdaZFtH7yyScBACeccEKVv68yLLdc1NfEVk62JfPC6cUS7Znfl/PPP191q1atVLPVuBhhm0+w2B522GGaxrYdtg1xFOPJkycDSLdY/+c//1HN0fM5OvNee+1V0VOvMzRr1kz1G2+8oZptWWGaTBpsjeMo5XzPzjvvPADADTfcoGkrrLBCJc64MNl5551Vh+kEhcScOXMAxOsA2Vx/tsTPnz8fALD11lvn+OzyC0fMZVs1TwcpD757mzF7AAAgAElEQVT/Dz30kOqvvvpKNZfzxUJSFOu6ZrFu1KhRqTSeYlJThKl2PC2RVzgZPXq0as6HiwW2UvNUQi4z8k0oL9mWfMQRR6jmKPjcxurXr5/qMLWI7+PVV1+tmlenCHkuALz11lsA4hHUub7LU6fKo127dqp5qhvnV+PHj1fNK9lkM1U3G2wE2TAMwzAMwzAMwzCQhxHk119/XfUPP/ygOgRO4RECDtbBPYIcqCX0LPBoDAdvCiOLQHyU4f7771cdeji4J7Ku9UBWhGOOOUZ16IHi68yja9zzzT39FYFH8QYPHqyaA3Y9+OCDAPI3ghzgkVYOZHDTTTep5p64QoODKvGasxzgLqwXC8TvTTHC7/nJJ59c6nP+rUzHjh1VJ10DTuP34cADD1R98803qz733HMB5C/IXLEQnBoAcNddd6kOa1E/8MADmsbXkgPFpI30h2Bg8+bN0zTuiWYHQTESgskVKrwGeGWpTSPHHGSJg+nwOt0VgUeQmTfffFM1u2eKhb/++ivfp5B3CmUEuX379gCA559/XtMOPfRQ1bvuuqtqdhpyALlCY+7cuao5j7rnnntUZ7Nee03DgWF5/eFBgwap5vedA/GGQF/cHmOXG+vbb79ddRh53mOPPTSNncIDBgxQzfef60JJgRn5c66T8Sh5NgEdK4qNIBuGYRiGYRiGYRgGrIFsGIZhGIZhGIZhGADyYLFOs1KccsopAOJBOXgNSrY/9+zZs9T+aVZPthl8++23iduHtTDZRmoW6+wI1uYlS5ZoGk+WZysGr/vKttOKwEGh2BIbbB6LFi3StFxN1K8IbPHr1auXara17L///qoLJVhOWEf6yCOP1DReL5aDjLVs2bLmTizPzJgxQzUH7mvdurXqpLxn4MCBqtmWxdeUryOvU1gXSFsfuSLwdQ+B/NhiHZ5pIB4QhoPGDB06VHUIBMnlDt/zd955R3Uugg8aRllw8BvnnOrtttuuUsfbZpttVPP0NbZRFqPFOuld5N96/PHHq+aAn5yHF0t9jwMUsTWe61yBZcuW1cg5JcH1Pp7yuO+++6rmKXccvIuDgBYCbO/l56SY3hWuj3AgvjC1CwAuuuiiUvtlcy/YTh8s9q+++qqmhUDKQHwN4xAUE4hPWbvuuusAxAP/cuBGnuJZ3VMqbQTZMAzDMAzDMAzDMGANZMMwDMMwDMMwDMMAkAeL9RdffJGYHiy3bInmdW7ZYn3HHXeonjlzJgDg+uuv1zS2Sm+00UaqP/74Y9VsWQrrn7Zp00bTCjEqXSESLCdss+B1GtmWyPboJ554QjVHo64IHCkvWKzZqhNs+/mCI26H9eEAoEePHqqnTZummtd7rQk+++wz1SG6Mq9fx1G4Kxs5tdjhNQPZlshTQTiycuCZZ55RPXXqVNUc0ZOvb23Nb9Km1AQrFhC3Q4ZI0RwxOhv91FNPlfoOjmrJ94Cn2vTp00d1WNmArXMchZ/t2BxB2zCqA46ey1TWYs35FL8bXDYVIxwZOVg7ecUSXkGC64mch7NNe7PNNgMArL322pq27rrrql5nnXVU89SNsD1Hj+a66DfffKN68eLFielhe97v888/V815F8Nl0z777AOg8tPYcg3XqydPnqyabdh8rqEuufvuu1f/yaXAlnUup6+66irVq666ak2eUs44++yzVXP5zGslh9+WzYorX375pWou1wOc7xx77LGqp0yZonrYsGGqr7zyytg5AMAmm2yiuibLXhtBNgzDMAzDMAzDMAxYA9kwDMMwDMMwDMMwAOTBYs1WQra4hOH9a6+9VtM4MnLz5s1Vc3S+gw46CEBJ5DMgbt247777VK+22mqqL774YtX9+vUDAKy//vqatt9++2X1e4yIlVdeWTXbnDliLEczZKtpiDzL0emyIdx7oCQSJ0eRzjdsEWELOtvb2FoUrhvbSXIBTycYM2aMarZNh4jA48eP17Rddtklp+dRjHAe9X//93+qecpHiNLIUZXZ0su2rCuuuEJ1WuT92kS3bt1Ujxs3TvUjjzyimiPPz5s3DwDwww8/aNr333+vmu9BefA9YEK0aiBu/wrTRdiuzVFLf/vtt6y/2zCqCltvOR/iKLSVZeedd1bNdac//vgDQPFO+QjTrnj61c8//6yaI3bz9C/Wc+bMARC3OS9dujSn58n5SpKVm23cbFFmKzhH/uVpKklTfgqFzTffXDVb+4MtHCiZiscRj7keWZ389ddfAIDTTz9d07bcckvVoa1QW+DpjRwVPUwDDFPvgPjqKxdccEHi8cqr0/D0A7Zm835NmjQBEF/p4sUXX1TduHHjMr8jlxTum2QYhmEYhmEYhmEYNYg1kA3DMAzDMAzDMAwDebBYt2vXTvXXX3+teuTIkQCAZ599VtMWLlyomi0wO+ywQ6nj1q9fX/WKK66omiMZsy1ygw02UB1s2GzrY4uFUTE4uixHA3z88cdVs0WjV69eAOL2aLYVZQMvOl+IbLHFFqp5EfV9991XdbC9PfbYY5rGliS2sXPUyk8//RQAMHv2bE1jPWLECNUcpZqjob7wwgsA0qMO11X4/gwcOFA1L1xfr149AHErO+dR/fv3r85TLBrYbs26IgQLKADceOONqoONnd8dtjH++OOPqidOnKiabXzh/eL92J550UUXVeqcDaMysKWf6zezZs1SzWUmbxP4+++/VfNzz6sn/Pnnn6rDqiBswS52gmUTiOfnrMuDr1F5Eai5bOYo1xwJm8+prsI2cp5+F+y9vJrADTfcoJrL1kaNGpU6Lk9tY+tuw4YNVXMbIZTfQInt+/3339c0tvfyfrWN1q1bqw7TDHjlhiFDhqjmqYF8D0Ibi68Zl6dnnXWW6gULFqjmulNoP3B7YdNNN63AL8kdNoJsGIZhGIZhGIZhGLAGsmEYhmEYhmEYhmEAyIPFmmnatKnqE088MfZ/Jl988YXq+fPnq547d25qGgA8+eSTicfr27dvqbTOnTurTrJxGxWHLS5HHXWU6gMOOED1E088ASBuQ67NsJUlKZJj165dq/wdbLfjiJ7XXHON6mBlytzeKGG33XZTfeSRR6oePHiw6hBhPzzHANChQ4caOLu6B0fX5Xw+WL74HqXRp08f1WH1BAA45JBDAMTv+fnnn6+apyQYRnXD09E4+iuXH5WFV/Q4/vjjVRfSKhCFBJePvNoJa6PysC09rObB9cWant7CFnheFaeuEH4/R+0+99xzVfNUJl6Z47PPPgMQj35d3ndkHjt8J1uz84WNIBuGYRiGYRiGYRgG8jyCXBE4qBbrsGZaGryWVghmBJRMQgdKAi1wT6pRvXDAqaTR/LoCB8UK67ZyYDMO1PLrr7+q/uWXX1SH94FHuHjtPl5D06gY7IB4+OGHVXfp0kV1cENwQBaj+rn33ntVV3ZNaQ7UM3nyZADxd4vvs2HUJBykiNcKnz59uupPPvlENdd1AvxetGzZUjU/11Y+GIVECITF69HPmzdPNQdcDOsWAyWB1Nhtwfz000+qOSjUsmXLVIcgUxwk1t6PCHZR9O7dO1GPGTMGADBhwgRN4+vOwf/YvVWo667bCLJhGIZhGIZhGIZhwBrIhmEYhmEYhmEYhgGgiCzWlYXXONtss80StWEUAiFoAQfPMgoHzktOOOGEPJ6JAcQDDeWC9u3b5/R4hpErQiDATG0YtZXllisZv+PpAUbhEqa8ljf1tViwEWTDMAzDMAzDMAzDgDWQDcMwDMMwDMMwDAMAIBzNrdyNRZYAWFTuhkYmGzrn1qzqQez6V5qcXH/A7kEVsHcgv9g7kH/sHcgv9g7kH3sH8otd//xj9yC/ZH39K9RANgzDMAzDMAzDMIzailmsDcMwDMMwDMMwDAPWQDYMwzAMwzAMwzAMANXQQBaR36qw7zki0jCH53KOiPTy+jARmS8i/4pIu4ztWorIW/7zuSKykk+vLyL3iMiHIvKBiBzi088QkT65Os9iRUQ6icjOZXzeQ0T6e32eiLwnInNEZIKIbEjbjRGRn0TkpYz9HxWRBSIyT0TuF5EVfPr+InJ1df0uwzAKGxFZU0TeFpGZIrKriLwsIqtW8Zi3iMhuXg8Xkc9EZJb/18qnX0hp80TkHxFZ3ZcVk0Wk1i+daBQPafUxEWkgIpNEpB6lrSIiX4rI7ZQ2XkRyu56aUevJdV0+4fjtROTWHB6P2wqDfH1/joiMDOWKiKwgIg/6NsL7InIJ7X+ubz/ME5HHqQ0xQkRsTdkipdBGkM8BkJOXyldU+gB4zCfNA3AwgMkJ2z0C4BTn3DYAOgH4y398GYDFzrnNAWwNYJJPvx/Ambk4z0Ijs4JXToWvE4DUBjKAiwDc6fVMAO2ccy0BPA1gIG03CMCxCfs/CmBLANsBaACgr08fBeCA6syAawIROSVkyhXYp0IdUBLxqq/8bEGV+1ki8ouInOO3S+xAEpHtRGR4Rb6zNiEivUOFUUQGiMgFFdz/HL7HInKmL3zni8hAn3Z0xn35lxpkVkFNpguAuc651s65Kc65fZ1zP/EG/tnPqowTkTUA7Oic4/LhQudcK/9vFgA45waFNACXAJjknPvBOfcngAkADs/JrysAROReEdm6gvuU2ykqIhuKyAz/rM8XkVNo/yN9BXSORB2nTX36f0Wkcy5/Xx2nD4BnnXP/UNp/kFE/AvAwgNNq7KwKlMrk/Rn783vRW0SWUH7fl7ZLGywotoZWzurySTjnpjnnzsrFsRLaCq8A2NbXVT9ElM8DwGEAVnTObQegLYCTRaSFiKwH4CxE9dttAdQDcITf5y5E9eBaSSXrRL/5/1uIyLyUbdYN74CIdBOR6b5cmB7KARFZOaPetFREbvGfneK3nyUir4dyrKL12WprIItIY18ozvAn2t2nt/AVxEcl6oV5WkQaishZAJoBeE1EXvPbhsJynojcSMf+TUQG+8J1gogkRSTrDGCGc+5vAHDOve+cW5Cw3Z4A5jjnZvvtvqdCow+A6336v865pV4vA7BQRDrk4FLllLTr6z/rLyLv+ut5j4iIT58o0ejJNABnSzR6MlRE3gYwUKIRkud8pWWqRCPuLQCcAuBc/xDumnEemwP4H12z1/x1A4CpANYP2zrnJgD4NfO3OOdedh4A74R9/N8TAeyfswuXB5xzQ51zD2WmS25HofYFMNs594tzbgFV7tsCWAZgpN8usQPJOTcXwPoi0jyH51QnyCx4RWQPAN0BbO874/4LAM65R+m+HAvgs9AgQxFVUEWkl88jZovIwz7tACkZ6R0vImv79AES9cZPEZFFInKwiAz0+f0YKXGLLKT0d0RkU4k6DwYC6O7zngZ+u6Y+/1sgIg8heqY3EJE9JXIIzRCRp0SkccLpHwJgTAV/8pEAHqe/nwNwdAWPkTckIrUO4Jzr65x7r4KHzaZT9BsAO/nnfQcAF4tIM/++DAGwh99nDoAz/D63Abi4gudS0Pgydbqvx5xE6b+JyLX+PZpK78wm/u+5InKNUGepRM6Gd/37d1UWX380gOdp/7YA1gYwLmO7FxA950bV4PcCAJ6gzrd7KT1tsKAgG1oi0khERvlndZ6IHJ7rurxEnffz/HdM9mmdpKQBtaaIvOKPca8vT0JZ8L6IDPOfjRORBgk/I7OtMC5oxOuqDkAjn081APAngF/8Z8sDaOA/awjga58+BUDXHNfp8kYN/o7zAAzzeimAA3zHxHGI6kRwzv1K71ArRBG9n/X7POac286nDwRws9+nQvXZ6hxB/j8ABznn2gDYA8BNoUEGYAsAdzrntkL0gJ3mnLsV0UO1h3NuDxFpBuBGRA9vKwDtRaSH378RgGm+kjkJwJUJ398RwPQsznNzAE5ExvoK1EUAICV2vf9QxWpt2m8agF0zD1YglLq+Pv1251x738vVAPEGZn3nXDvn3E3+7/UB7OycOw/AVQBm+krLpQAecs4tBDAUwGD/gE7JOIeOAGaknN8JAEZn+2N8ZflYxCuwhXz9S5HSeNDeNyndSbG2RPae2f5fqZH6LCtFsYoQ0QXAJ865RUCZHUgA8CJKekSLnpR7saaIPOOv57si0rGcY7TyldVgw0oa5Y0VvABOBXCDc+5/AOCcW5ywz5EARtDfRVFBFZFtAFwOoLNzbnsAZ/uPXkc0Mtsa0e/iSt4miK7RgYhcPK/5QvAPAPvRdj/79NsB3OI7D/qjpJL5R8bpbIYo/9sGwO/+vLr6smgaosI3k6Ty4lp/fweLyIoZv7chgL0BPEPJ8wC0Tzh2wZDSgXCXiEzzlciraNuJ4t0kaY22jGNn1SnqnPszvAMAVkRJPUT8v0a+rrAKfEXT51NriMg6Ob0g+aWPc64tgHYAzpLIxQBE9Zup/j2aDOBEnz4EwBD/LnwZDiIieyJ65jsgqiu1FT9VIAkRqQ9gY1+GQ6JOkpsAlBoJcs79CGBFOrdaQ0o5kNihl7HfiSIyWqKOuU0k6tCbLlFn35YJ28fei7JIGyxA4Ta09gbwtXNue1+vHFMNdfn+APby78OBCZ9fCeBVf4ynAXDjZzMAd/jPfkLUEZpJWW2FPiipqz6NqDz5BsDnAP7r3UNfIers/tx/9rNzbhwQDawB+BjA9inHrxCS0CHh07v4Z3auRNMRV/Tp7UXkTb/9OxKNutaTyJEzzz//Z/pt20o07WK6bw+t69NjddOE09peog7oj0TkRL9P4gBpBdAOa+fcTOdc6HCYj6gjIrM83hzAWojeEzjnfqGPGyHq3AhkXZ+tzgayALhOROYAGA9gPUQ9lADwhXPuDa8fAbBLwv7tAUx0zi3xFcxHAYRM/18AT5Sz/7oAlmRxnsv7/Y/2/x8kIl18+voA3vQVq7fgR3w8ixH1khUiadd3D5/5z0WUWW1D+zyBOE/RSPouKOm1eRVRRWWVcs4h8fqLyDGIKgSDsv0xiHpeJ2c0wgv5+scoo/GQCXdS3IrIvrk9gDaIMgY+ZraVorTM/wjER7/Koqg6I8qijHsxBFFnT3tEmfO9KYcIPASgn+80movsOuk2B7CrfwcniUhSY+pw0H0pogpqZ0R5Rmgc/eDT1wcw1uc5FyKe54x2zv2F6PrVQ0kH2FwALWi7x+n/nbI4l0XOuale74hoeswbIjILUQ/0hgn7ZOZXlyCa3tEewOoA+mVsfwCAN+h3wueXf4rIylmcYz7RDgTf8LzMOdcOQEsAu4tIy4R90hptTNadoiKyga8bfAHgRufc1/5ZOBXR/f8a0X27j44xw39HbeEsEZmNqPNgA0T3BYhGpoLFdjpK3oWdADzldbCDApELbk9EI/YzED23ZdlxmyJqLAROA/Cyc+7LlO2LpqzNlkp26EFEzkA0sNDDd8zdA+BM39FxAeKjxIGk9+IQ3zh5WkQ2KO98c93QyiFzAXQTkRtFZFfn3M8J21S1Lv8GgOG+8VUv4fNd4DuVnXNjAPxIn7Ebi98lJq2uehmAcL5AVNf6B9G7sBGA80VkY9853t2nNUPUwXcMHSqX70+pDgmJ5jsPB3C47zxbHsCpviPsCQBn+2e8K6LO55MQXYdWvv7yqESDULcBONQ/y/cDuJa+N3MAjWmJqPzfCUB/3yFS1gBpmYjIRgB+pE5U5hBEgw6Znx2BqMNcG8IicrqIfIJoBJnt+FnXZ6uzN+poAGsCaOuc+0tEFgJYyX+WufhyVRdjTtr/D/q+svgSUeNrKQCIyMuIGiSvIrKghiH7pxAV8oGV/HcUIqWur3+J7kRkeftCRAYgfn1+z9gn8++K8geAJpwgIl0RzevePeXhL4WIXInoOTo546NCvv6ZpDUeMuFOis4Aevnt/wGQWfBwpQgAGiOqFGXOIVvdORfrkfYZ54EomVtTHrWpgpR2L7oC2Jry8FUk2YoLEWkCYFXnXIhJ8CBKKq7MugDep7+XR9TY2hFRpeFJEdk4ZOoisgOAZc65zHk54fp/n/WvLBxuA3Czc+4FEekEYAB9FkbS/xWRv6hw+xfxssml6DQ47xIArzjnyhuFj5UXzrlvwjmKyAMoPbqW1sG0IqLKQSHDHQgA0FMii+/yiJ7ZrRHZm5nMRlu3hOOW1ym6e0hzzn0BoKWvTD0nIk8D+AFRA7k1gE8RPTuXALjG71Zr8iH/LnRFZDVfJiITUfL88bvwD8qvpwmA651zd2f59Zl1o50QddydhqgcqS8ivznngqW9mMrabCmrQ+8JP3pWH8BntE8vRB06PXydtjGiGCxPUbkRG9nyZL4XLwJ43Dn3PxE5GVH5kc38+vD8Z+OMrBGccx+KSBtEU7muEZEJzrmqBFAtlb87507xZeN+AKZLNB0gW7ie+Q8i52QmpdoKItIbUUdIF3oXj0I0Qv4XgMUi8gaifM0haogv8fs+i+i5eMTvl8v3Zy6ixuaNAF5yzk0Rke3993/ot3kQwOmIYmJ845x7FygZVfX18KGuxFL+g4hsC2BbAK/4Z7keotHwQOYAGvO87yz6QyJLfQdEcYKu84M2/6JkgPTbLH5jWjmyDSInwp4J+xyBjKkJzrk7ANwhIkch6gw7zn+UdTlSnSPITRAFuPpLorl33GvfXETCSMBRiHrtgMhaEnrf30HUm91UokiLR6IkSNZyAA5N2J95H8CmWZznWADbSTQPenlEhfh7/qV4EVEgKiCypPJ8rM0RWdQKkaTrGzKApT5jPzRxz2SmwM+t8wX7Uv+y8f3KJHb9RaQ1gLsBHOiSraWlkCh4xV4AjvQ9qEwhX//KUpFOiVApCnMwNnXO3Zew3d9Sep7hPoh64b7L8rtqYwUpk+UQjRyE67mec67SEfk9mQXvl4gC4zjn3DuICo6m9Hlao6sYrv+rAA4LI90isrpPbwLgK6+PS9oxCw6n/9+q4L5TAXQUkU39eTXydqxMMvOrYC8TAD1AeY3vINkdGVMX/G9f6itQhYzmM763/gJEFcGWiCo2SR3L2TTakiqaoVP0wKROURdZ5+Yh6tFv5dM+8d/1JOJBIIvhPciWJohGSZZJZMvdMYt9pqLEIsoWwbEA+oQOPRFZT0TWSjuId6XU853mcM4d7Zxr7pxrgehZeCg0jv3zvw6AhRX5cUXMbYimom2HqFOen+fgbAlzUpcD8BOVGa1cNK0tk8zOt+/pXbgXUTyQbCi45993cC1zzj2CyBXYxn+Us7q8iGzinHvbOdcfUcMpc8T9DQA9/bZ7AqhoUMvMvH9vRM6BA13JFBEgslCHAFGNEL2zH/j0HX0bQhC1FbhjPGd1Vd8IboPoWbxGfOC3HCAA5tNzvJ1zjhuiZdVNkwY8eYC0FYDvkN2AJZBcjqyPKF5OL+fcJxmfbQ9geedcWsfRCERleCDr96g6G8iPAmjnrXW9ED1IgQUATheR9xE9zHf59HsQWQZe8z34FwN4DcBsANOdc6FC8juADhJFQOsMIKnHajRKbBwQkYNE5EtEvaWjRGQsoIXFzQDeBTALUcNhlN+tH4AB3gp2LIDz6fgdEUW7K0RKXV8XRXgdhuhFHYvo92bLAEQW3jkAbkBJRfdFRJb0UkG6EI1ktiZbxSBEvdNP+e1fCBuKyBREI3BdJFpmYi//0VBEvU5v+X04M9gDUWWuGEhrPJTFBESjKZBozkiTjM+zrRQtALBxRlpmcKHyqE2dEWn3YhwoMr34KNJJeBvZj/TMH4uSAp/J7KR7DtFzG+bM1EcUgCLMA+yJ+PzjoqmgOufmI7JkTZLINnqz/2gAond+OvxvrQSr+bznbADnVvC8lgDoDeBxf4y3EFlQMxmFks5QILKdzUVUEWmKklFMADgIwDjnXGaloZjypMAqiMrTnyWab7lPFY6VVaeoiKwvPliORPbEXRDlU18hcnGEQD3dUE0VzQJgDIDlfRl9A6LGb3mcA+A8/xxvCu8qctF8x8cQlZNzEc2VLM/mPw7JdtZM2iKy1v9d7pbFRWU69GYiajS/ICLN/CDBZyJymD+G+Mp6Jomdb54DEX/Gy6IQn//tALwj0fSVK1GST+ayLj9IfIAvAG/6YzBXAdjTf34YolHKpHncacTaCohiXayMaDR1logM9el3AGgsIvMR1Z8fcM7Ncc69jeidm4GovFjO/374PPUP51w2I6flktIhsQBAi9AJjJL6yAIA64qfyiXR/OPlEbVbTvY6PPsLAKwZBtYkWtKKp0OVRXcRWcm/S50QXZuyBkjL40OQFV6ieFCjAFzsSqaOMqXqsxKP+L4fgI/o7+zfI+dcjf7zP3xeFY/xW5bbjQSwWTX8htYAHq7pa1dT1zeH5zIEUXCcXB93bQAT8v37KnjOx/mXcjaA4T5tAIALvJ6IyP7Ov/F5RBnuLERWvNizj6jBECrxbwHYJOF7rwDQl/5uhMiq2yRju4MQjXD+D1Fv31j67HZEUQTzfh2r8V40RWQjmoPIKTLUp/dGNKKQeb9aIarUzkHU8F0t4Xs2RDR9I/xdH5Htah6iwrQzfdYJUUU08xjtADyT72uWx3u1EEDTGvqu1xFZ5yu7/7MANs/3NSvnHEuVD4jmr32IqFPuWQC9fbrmSRn5zqHhvck4TkNEsRLE/z3e5yWz/L8XfHo3/97M9v+fRMc4BVGDYQ6iDtg1fPoKPn35fF/DPN67hnRtj0BkbazssdogizoMojK8S75/ezVdz6RyoDsie/90RA2QiT6d8/69EDWWmyKadzrGH+M9AP1T7hu/F9f7v2cjajRuSdtOQTRK+gei8ngvn742gHfyfc2q4R5kVZcv5xgrhnwB0QDYrEoco7raCucCOCGHx9vL542zEDVEQ/7cxT+TcxHNH17Rp7dHVE8JsQ4aI3L/3Oyf19kAzvDbtkI0sDXbP58n+vSJoLppxvkMQBSP5S1EjdCwT1OfNhfAAz7vbsH3HGW0VRCVRZt6fTmijpRZ9G8t2vZTfod82hD/G2b5d2wb+izr+mx4YWsMiZYHeslFE8wre4zfnHOJ8wMzttsCwNouvrZllRGRbgA+cj4KZCGRi7FuYfMAACAASURBVOubK3zv2Q7OuRfK3bhix22PyPI3q9yN6zi+t/oh51zSnMFs9l8RUW/kLq72jSJUOyIyEsBFzrmPyt04ef8hiBoWE3J7ZsWBRLEr2rksIsDm4Lt2QNTbnzn/Npt96wM4wiUs21aX8M/ri8658Tk+7kEA2jjnrsjlcYsJ71i5HZEd8idEUbA/rsLx+gB40MXXQs7c5kTn3LC0z43sqOp7ISLnAvjFJU+jKlqyrcuXc4zNEE3HWA5RrITTnJ93W4FjVFdb4XhEHVFWd6oAPr9v65y7PMfHrVB9tsYbyIZh1Cwi0hNRcIlfyt249L6bAVjPOTcx5ydWB6hqwWsVVKOYqMZO0cMQBVv7qdyNDaPAqOp7YQ0to64hIn1dfI3wXByzQvVZayAbhmEYhmEYhmEYBiq4zFPTpk1dixYtqulUai8LFy7E0qVLs1oDrCzs+leOXF1/wO5BZbF3IL/YO5B/7B3IL/YO5B97B/KLXf/8M3369KXOuTXL37Js7B5Ujoq8AxVqILdo0QLTpk2r3FnVYdq1a5eT49j1rxy5uv6A3YPKYu9AfrF3IP/YO5Bf7B3IP/YO5Be7/vlHRBbl4jh2DypHRd6BCjWQKwvbuIcPH666R4+SpalWW62iS5cZuSTcowceeEDTOnTooLphw4aq69Wrp7p58+YAgJLVnIxC48svv1Q9c+bMxPSePXsCANZYY42aOzHDMGoV331XsrT6//3f/6necMOKrPJhZMvvv5esNPbiiy8CiF/3Tp06qbbRJqOQ+PHHH1UvWLBA9cKFCwHE6yf//FMSR47rmquuumqp466zzjqqW7durXqDDTKXTzZqmoceKolhuc8+JSsKrrlmlQfUq4XqXAfZMAzDMAzDMAzDMIoGayAbhmEYhmEYhmEYBmrIYj1q1CjVffr0Ub3eeuup3nPPPWviVIwURowYAQDo27evpmUT4XyrrbYCAFx88cWaduSRR6peYYUVcnWKtYZnn31W9UsvvaR6s802AwD069dP05ZbrnJ9WCNHjlR9yCGHqE67pwMHDgQAzJlTsgTsyiuvXKnvNgyjbnLhhReqZtvk22+/nY/TqTWwlfq0005T/dRTT6n+448/yjzGwQcfrJqtjo0aNcrFKRpGIuPHlyz9HKZyAcCvv/6q+u+/q3/1qtVXX111mzZtVIdpggDQpEmT2P8A0KVLF9W77LJLdZ5iQcP5S4MGDbLej630xx13nOphw0pWr+R2RyFhI8iGYRiGYRiGYRiGgRoaQeaego033lg198wUIx999JHqzz77DEDhj4RzsIOHH35Y9UknnQQgfYSRJ9Fz79oHH3wAIN4z1L9/f9WDBg1Sfdhhh1X2tGsVF1xwgervv/9e9S+//AIgfq27d++u+vPPPy/zuHzvTjjhBNU777yz6iFDhqhetmyZ6hDM5fbbb9e0Sy65pMzvMwzDYJo2baqanWNG1Tj11FNVB7cXAJxxxhmq99prLwDAkiVLNI2dRC+88ILq3XbbTfXo0aNVr7XWWjk6Y8OIuO2221TzaCI7DdlZGoLJrbvuupr2559/quaRTB55Do63EOQLiAclnTVrlurZs2ernjhxoupQB/v555817cYbb1T9xRdfqK4LAU3/+usv1WuvvbbqoUOHqj7qqKPKPAa7X5j69etX8eyqHxtBNgzDMAzDMAzDMAxYA9kwDMMwDMMwDMMwANSQxfqTTz5RvcMOO6jm9XSLEbajPvfccwCARYtysgZ4TmGbCVtvOX2llVYCAKy//vqa9vXXX6tm2xbrbt26AYgH6WKLNQdlGDBgQOI2dWENZV7TL9jxgbhV5ZlnngEAnHnmmZoWrO9AdkHTkmALTNu2bRO3CVMfQrAuIDfBwgzDqDtwwJsffvhBNU/naNiwYY2eU7Hy2GOPqebpUGz5fPXVV1UPHjy4zOO1a9dONdtN77nnHtWXX3555U7WMFJYbbXVVG+00Uaq+flmQnC/TTfdVNO+/fbbcr8nrLW+6667ahoH1erVq5dqXhN58eLFqsO0EA5ot8UWW6h+5JFHVJ999tnlnlOxw0F2uZ7O+Ud5Fmtel50JbY5Cxmq9hmEYhmEYhmEYhgFrIBuGYRiGYRiGYRgGgBqyWH/33Xeq11lnnZr4yhqB1wIL0e8KhY8//lh1586dVa+44oqJ259zzjkAgOuvv17T2ILN68ZxVEKOohnYcsstVV922WWq2WLN53fvvfeWeW61gRkzZiSm85SDENX9/PPP17SOHTuq5ntQHmzpPuaYY8rdPkTTZjuM2aoNw6gIvMIBwzbGEKXWKBsufxs3bqyaVzkYO3as6quvvhoAsPvuu2vauHHjVF933XWqt9lmG9W2RrVRnbBFmacKcF2D7baPP/44gHjEa56KxlZfPsa7774LAJgyZYqmsSW6Ipx33nmq2bI9fPhw1XXBYs3wCkQ8bbY80tZnr8hayvnCasCGYRiGYRiGYRiGAWsgG4ZhGIZhGIZhGAaAarRY8wLTS5cuVc2LTRc7yy9fcvn49+YLPodDDz1UNZ/npEmTVA8ZMkT1KaecUup4rVu3Vr3HHnsk7nfaaacBiNtxjz/+eNVsDbv55ptVX3DBBaqDvfell17StNpm702L5MfXJ0RtfP7552vknF555RXVwc505ZVX1sh3G3WDf//9V3Wu32l+T4LtdOedd87pdxjZ8dtvvwGIR1JmK3WIMGtkD0cED9cXiEeWZbp37w4AaNmypaZtttlmqjn6NUcSN4u1UZ2wnZ/Lgw8++EB1q1atVCdFsT755JMr9d081Wz+/Pmqv/jiC9WjR49W/eyzzwIoqZMCwIEHHqj6wgsvVM3vJNfjaiscgfzTTz/Nej+LYm0YhmEYhmEYhmEYRY41kA3DMAzDMAzDMAwD1WixXrJkSWJ6bbJY//DDD6p5MfR88dxzz6mePXu2arZkcUS+E044QbVzrsxjc1S/Aw44QHWwOR500EGa9tNPP6lmK9e5556rmi0pJ510EoCSKJxAPOK1UT0MGjRI9frrrw8gHnXcMCoDR6jn/IafN46sztF6DznkEADArbfeqmn77befap4C8J///KfUdz/zzDOqDz744Aqfu1E5+vTpAyBum3z11VdVc+RZIzvSon2vtdZaienBKs0W63XXXVc1WyTr16+vmutqwZIaygPDqCpssWbmzZunmi3WCxcuBBCPmvzPP/+o5qkCTzzxhOodd9wRQDxaOz/Hac80t0mSLNbbbrtt4n5s2ebVSGorm2yyiWrO28vDLNaGYRiGYRiGYRiGUeRYA9kwDMMwDMMwDMMwUI0W62+//TYxvTZZrHkh89VXXz2PZxJx5513qt5yyy1V33///apvu+021RxVOthW9t13X01jmzOn88Lvt99+O4C4xZoXBmcbxbJly1Tfc889qtdZZx0AcYs1R6Pdc889Ueyw1Zz5+eefa/Q82HrPUazDs5AWIdWIw1MSPvroIwDAO++8o2nTp09Xze9iWjTOcDy2CHME2u23376KZ1z9hAil3bp10zS+Trvvvnvifm+88Ybqzz77DEB8Gsdxxx2n+sEHH1TNeUuwcQWLNhC3wG299dZZ/gojW7iMf+qppwDEbe+77LJLjZ9TbSLNmvr444+r5vpUWKHixBNPTNyvUaNGqrnuwnbrpk2bVu5kDSMFtvY3aNBA9XvvvZe4/YorrgggvirLXXfdpZqngXG5GOq5bLu+6aabVPOUQibpmV+8eLHqNIs1W8TrgsU6rBQBxOutf//9t2peMSfA7QGGn4VCxUaQDcMwDMMwDMMwDAPVOIL83XffJaaH0cLaAAfpKoQR5MmTJ6u+9NJLVe+0006JmnvJ7rvvPgDxnrpOnTqpHjlypOoOHTqofuuttwAAf/75p6bxGnM8atSzZ0/Vc+bMUT1q1KhS58xBfGbMmKG6WIOHbLfddonp06ZNU922bdtqP4/rr79e9SqrrKK6b9++1f7dNcGYMWNUT5w4UTVfW3ZD8KjKokWLAMTvybvvvpuoeYQ4yQWw8sorq+Y1yTfYYAPV4d0BSkbzeU1SdmWE4CGFTPv27QGUBFkB4j3KAwcOVH3++eer5jUVw/bcK/3CCy+o5mBPPCr8zTffxP4HshsNCyPWQEmgxVVXXbXc/YzktTBtHerKwXlLGAkbMWJE4rbDhw9PTH/00UcBxF0ovP40v5fsFOJAXv/73/8AFEcAnWzhgEvt2rVTzXlTv379VBdaWchlAtefi2Vt8eWWKxmH22qrrVSzw4cJbjteZ5jdkVxmsyMuwOUx30t+Lx544AHVSeXE0qVLVe+xxx6qmzRpUu7511a4TsPwfUoqOy1Il2EYhmEYhmEYhmEUOdZANgzDMAzDMAzDMAzkwWLNQSU++eQT1cHuu8Yaa2ga25ZZs2Ujn7DFmq2T+YKDbbDlmYMdsLWK11O85JJLAMSDCO29996qOWgOT67v2LEjgJJgXUB8HWS2NwUrNVBi6QaArl27AgA23XRTTePgC+HcAODhhx9GMcJ2KLaoJwWRSAp0UBU+//xz1SGYDhB/XoohYEJZvPTSSwDiNt4pU6YkbstWIX43kqxAbOkNwUMy00N+FIJUAcCvv/6qmu1crPl4wZrKazyecsopiedfqBx++OEA4s8bW9U4j7jjjjtU8/0IAV1C4DMgHlCI11XmKSUhMBFb7NPWi+UAgZzfBXvY2WefrWn9+/dXzeUOB2Tr1auX6hCQbejQoZpW09OKPvzwQ9VPPvmkag76xtNdOIjK+++/DyB+zuutt17i97BlN8ABeZhg3QXiz0TasesCU6dOVc3W9PA+8NQMnlo0duxY1W3atFEdLNZnnXWWpvG7yGU/B1gLU0uAkvt+4YUXatpVV12luhjXs+bnO+mZBeIW3kKwWHP9h6ejcZk9fvx41ZwvFjIc8Or1119P3CY8/zxdJmkaDhCfBhjqNjwd6aKLLlI9evRo1WHNZCAerDTAeRQ/8zwdgYPlccDb2kqaxZrrOkkWa877GX6WC5XCaGkahmEYhmEYhmEYRp6xBrJhGIZhGIZhGIZhoIbWQWaLAq+ltfnmm6tOs74kEaKNAiUR6NLs2GmWbV4vc7fddsv6uxm2D7dq1apSx8glbNlkqynrxo0bq2Y7RNB8bdnyzPdnyZIlqoNtmu3THLGZbShs2+rTp0+p82/RooXqc845R/V1112n+oorrlDNz08xcc0116jmNZ7PO+88AMDgwYM1rV69elX+vltuuSXxeGwpDpbQM844o8rfV1PwGrtHHnkkgHhERY52yWtwsyWICe8PTwNhqynbq9jyGLbndyct3+F0jsKctk52MRHsbBdccIGmvfnmm6rZ2sxrVf7yyy+qw9QQttFxRGteM5nXRw7f07p163LP8+mnn05MD1ND2FLKUfg5milb5RcsWFBKH3jggZqWlNdVByGyOk+NYasgw/ZMzruDrZGvP68fytemefPmqvfZZ59S33f66aerfu2111RzvsOrFYTpM1y+cH2htvHxxx+r5rwsTBdJs83yPWDCdJ2KTpfh9VyvvvpqAPH1rLmc5ftVLKRFs+dpcfysFgJsL2Z46lwxWqx5bW+eLsflcyi3uSznqVBcbvJayqH8PemkkzSN67BdunRRzfVZvvch30vLN7k+8MEHHyTqMM2mtsGrnjAcNTxpqinXixieolqo2AiyYRiGYRiGYRiGYcAayIZhGIZhGIZhGIYBoBot1hyhmofdOZIiW+dClGS2zbGFmTXbH0KEUx6u523ZSsE2CLb1VdZizd/J1sl8wfbptm3bqmbLHUeE5WjTQXPaiy++qJrtLv369VMdorlOnDhR0+bOnav6oIMOUn3DDTdk+UviFutbb71VNVus2aZZTHTr1k01R+i+/vrrAcQtYZdeeqnq8qJbhwi0QDz6LltKOUIn3+sQuZdtk2wTLUT4WQ7PJ9uZd9ppJ9VffPGFao4KyoRoixz5lXUawXrE+RxrtmZz/pdrwm9nC38uLPplwe99sF+yxY0j6j700EOqOWosP59hGkaaxY2vJUdkD5FqN9lkk3LP+eijj1bNVsYvv/wSQNwC3K5du8Rj7LXXXqo5YnUgKZpndfD111+rDjZLjjbK01NClGMAuPfee1XzdIFgN2T77/3336/6wQcfVJ1kJeQI/WytCxZsIH5vH3vsMdUhwu3FF1+saVyW8BQcLuuKlYMPPlj1mWeeqTpMUeApSe3bt1fNNk+eVlXZlQiaNWumOtSXuAxia2oxstJKK6lmm+hRRx2lmqcRFAJsmeaozEwh1DkrCtujeVoB183Du/37779rGq8CwvnKzJkzVYf6IN/Xzp07qw4rrgDxqTrjxo0rdWxuQzDdu3dXzWXf888/r7quWay5bZAEly9MKG8LGRtBNgzDMAzDMAzDMAxYA9kwDMMwDMMwDMMwAFSjxZoje26xxRbJX06W0RAJlqNLs/WB7czBigqURLfjiLVMmg26stEx2RbO0dvSIrXVJGyxYksKW7UqAlus2W7bs2dP1cE2zVEv2d574403ql5uuez7Y/h6nn/++YnHDhE3gfRnrNBhC+SsWbMAAFdeeaWm8bPO1jq2Rwf4eWSLJx8jWKmBeHT5YCXmZ6XQLdZspw7R0tn29O6776pm+3l58HVhG1gaIQIn27L+/fdf1ZwXVichT+NIp5W1XWZLsMUCJVNVBgwYoGk333yzarZb8xSK3r17l9KTJk3StEGDBqn+8MMPVX/11VeqN9poIwDxKR187/ie8jQetuBtv/32AID9999f09iuzPTo0UM1W+rCebB9tjph+3OwmYf/gfgUjTTY6nbHHXeUuS1Hkw35VRo8BWLkyJHlngdbqwO8IgLTpEkT1XwvQnnEeWWhwpHrb7vtNtWXXXYZAOCwww4r9xhcpgYLJFsh+Tv4WWar61tvvaU6TEV57rnnNI2nNRQ7XAfkaOmFBq/+wfkp54U8TbBYSLPb8qo3YRoST3UJeTMQr/uwFf3UU08FEL/HPBUm5M0A8NFHH6levHix6jBlIc1izfUnnh7CKwHwFMTaRFpZWN5zmBTZGjCLtWEYhmEYhmEYhmEUDTUygswjjgwHmAg909wbMWLECNXcW8Mjy2EiP68JxwE8QhCpTP7555+yf0AK3CvO8GhWvuCeMx5dqSw8CsZwb1+gU6dOidtOmDBBNa8dmtZDF+CexlNOOUU1B+kaM2aM6mIdQWZCrzE/yxyEgnu8+RkPPa48anL88cer5tGWNELwLg6wxIH2sgl+lE+OOOKI2P+ZhABcAPDKK6+o5hHHkB+xG4XzIA7uNXr0aNWzZ88GEB/B53eER3l4vXQO1ta1a1cA8YCB9evXT/wthQQH8wl5NAcJYwcJOxl4rW9eJzgEreP1h1kz/J4E5wPnFTy6yk4Nzqt4NDmMOPMoTTbwSHVNB85JWj+be+arc31tfqd4HdPKEkak2UW21VZbqT755JNVf/rpp6qHDRum+uWXXwZQ8k4CxTECyusLhyByYW13AHjmmWdUc97PDojNNtsMQDwf4vvCdRdeg5bzpClTpgCIB/msTay11lqq0wIBFgKc93Peddddd6n+9ddfa/SccgEHTGM4L/nss88AxF2QvBb3I488opqdYSHQLwel5cBcixYtUs3PN+clwXGa5i5gJ1L4PiDuZgzvXHXmvfkgbQS5vOeQ61NcF81FG6W6sRFkwzAMwzAMwzAMw4A1kA3DMAzDMAzDMAwDQI4t1hwQiye+p9lfeU3QEByCg2dxIAm2YLz22muljsWW3IEDB6r+7rvvVLM94owzzkj5FWXDv5EpBIs1Wzb/+9//quZ1ytLWjwy/i4Nt8VqlDAfQ2XfffQHEA8MwF110kWoO8FKe7Y2tUBxohp8lXsuOgycUK8F+whZD1tUJr1MaYBtxZd+XQoGnc3AQpieffFJ1WD+RrYjnnXeeag5ck/S88bQNDhDGVmC2d3MAq2BF5uB0bBNNC3RRiGy88caq7777btVhfVcgbhvkfCbYok888URNC2vzAnGrf7ClA8D06dMBxC3xHOyOt+VgLcHOB5Ssx8zr7abB00/YupdNYKVckhREjsvQYrDpB5KmL/FaqGyL5PePp5O0bt0aQHz6DX9eDIR6Ck8P44CJbLeuLGzpfumll1TXhqlKZcEWz2IMcsUB2Irx/NPyI67fB9t0eJcBYJtttlHNQbr4foYAnTzlgqcScMBKrlPymvChPpBNADee/sHBe0PA09q2HnLaOsgVsfpzO82CdBmGYRiGYRiGYRhGkWANZMMwDMMwDMMwDMNAji3WvLYYk2bbYVtCGL7nNTx5nUW2ZnDkxrFjxwKI2004QvIHH3ygulmzZqrZZlcRCtlizTYsjiTLVlmOvDdkyBDVYf1Itkqfe+65qt98803VbN8OdrBHH3008Zz4mocIo0DchlkRdt55Z9VsVzWqRrC+8LqjbFMsdot1GhzFeurUqQBKIrkC8XW3OdorR0gOx6hXr56m7bjjjon68ssvV81TH4I9bO7cuZpW2bXaC5UQZReIR7TnyPQhH+JorbfccotqtsfzuspdunQBUGKTB+J2Z75fvAYzU5F12sOUICC+Xif/xpqApw4E+HyKyWK9/PKlqyM8VevYY49VPW/ePNVcxgQqu0pFIRDyALb/X3XVVTn9Do72z2V3WLmA150tdHjN4GC956jHbA3legxHnOc1uMM0F96Prbycvuqqq5ZK521Z87aVhb+7GKNYJ73jQLzeH55BjuLOKx3w2sdJ+R+XC6zT4LzkwQcfBJCdxXq99dZLTA/RmWubxbqy6yAzbLG2KNaGYRiGYRiGYRiGUSRYA9kwDMMwDMMwDMMwkGOL9YIFCxLT06wGHI2uefPmAIB11llH07799lvVI0eOVB0iJwMlVhq2d7OeNm2a6lxYFtm+zbBdJ1+0a9dONds/brvtNtX9+vVTzRauHj16ACiJpgvEbUpsbWYrYrA/chTC3XffXfWcOXNUd+rUSTVHzmzZsmXqb8qErdnFYNEoNoJVFYjbYDlaLkeDr00EWyHbC7t3766a7bsHH3yw6mA/v/766zUtLVo8w9sE6zBbiOsK/E7fc889AIBBgwZp2vDhw1UPHjxYNUftD9Zmjnjdt29f1SeffLLq/fbbT/Whhx6qOtxTtuXddNNNqtkemDadqKYt1kmRRZcuXVrm54UKT1EIcOTza6+9VvV9992nmu3CtQGe4hHYa6+9cvodbP1litG226FDB9XhOnE9jX8Tv8M8nWzo0KGqf/7552o5T4bt1kn27TSbNteJeYoOW8SbNm0KIF5eJU1DyAc8ZYLhFU6C5ijRfN84PRdwWR7KGrZdp5Fmsf76669zcl6FRsOGDVVzG6AiFmt+DpNWIyo0bATZMAzDMAzDMAzDMGANZMMwDMMwDMMwDMMAkGOLNS9sz7YQjlzG/Pjjj6qD5eTMM8/UtMsuu0w1W0j22Wcf1SEaNVveQiQ6IG7N4OjXlYXPmSmEKNZsfd1zzz1Vs1WWbdhsXdxtt91KHW/ChAmq33rrLdXBBgkAJ554IoC4NZ4jIbN1ia3xHInwiSeeAADsvffepc4hE47QmhTB0KgabC9mq9nnn3+uesMNN6zRc8onG2ywgWq2BA0YMED1ddddBwB46KGHNI2tZPacVhwuP0JkWiBePowaNUr1rbfeCiAeoZojkLMN97zzzlP9+uuvqw4RxnmayezZs1VztNxCsVjvtNNOpdJCfgoAl1xySU2eTpVIinDbunVr1dtss43qSZMmqa5tFuukCNxp0X8rS1pEWrbtFgubbLKJ6ocffjhnx+UpgFwWlqfZcpq2LR+bddg37fOVVlpJNd+rJIs4W4A5InRN8++//6q+8847E7f5/fffS6Xl2kqdxlprraX68MMPBwC8/fbbmsZW/AYNGqjmOi9TWy3W3L4INn4g3TafBF+zbCKF5xsbQTYMwzAMwzAMwzAMWAPZMAzDMAzDMAzDMADkyGIdItw+99xzmsZ2Wh6aZ4ssRz4OFusDDzxQ09hiPXfuXNUcAZmtn5nnk6nZSlFZ0qJYF4LFmglWESBusb7iiitUJ9mqmWA5BOKRZnv37l1q23XXXVc1W0w4gvnUqVNVc3TgAw44AABwxx13aNpJJ52UeE5ffvml6jSbmFF5tt1228T0+fPnq65LFmuGbY7XXHON6jB1g/Ol+vXr19yJ1SE4embIN1jPmjVL0+666y7VbL0cNmyYao7aHqJXs5Wa86G2bduq5ukgHJGWrWc1AVu6jznmGADA1VdfrWlhdQKg5iyLlSXJRvz333+r5iiqbENOsmfytsUGR2UOhNUiAODPP/9UzbbdULfi68ERnLnuxbZRhrep6/B7zdqoGLy6DddFGa5Xh3yAV1GpKZLyb14VgKdccRnPOu3dqk1wvf7999/Pej++Thy5vFCxEWTDMAzDMAzDMAzDQI5GkMOEdl6X9qCDDkrclgMOMKGHLi2gDffsHHfccarTgmYFuAc6F+sg8/dxwIRC67HmkREeObj00ktV8yh/6LV7+eWXNY1HfDnw2QorrFDq+3gE+Ztvvkk8Jx7Bnzhxourjjz8eQHytUg6GEAKxAfGRIA7eY+SGtGAwtXXt41wQRpBzEQTQqBqtWrVSfffdd6vmEX9O5+A2wb3Up08fTePAk5x38vrC2QQXrAnCGtGct/L6uZMnT1bdokWLmjqtrClvBHnZsmWqubxdtGhRqf2aN2+e47OrOdq3bw8gHqguBKED4nkxP4ehPsLrq/NoM7uv0ta1nzlzJoD4WuFJ5b1hZMsbb7yRmM7P6aeffqo6uBXz4cJKWh+cXRo8gszvEL9ndSEo59Zbb636+eefz3o/zuNtBNkwDMMwDMMwDMMwigRrIBuGYRiGYRiGYRgGcmSxHjlyJIC4LZYtOkx5Fus0WwUHnuBJ8IceeiiA+Fp4vI4lw/a7XaVk9gAAIABJREFUysJrd6222mpVPl51wVaGm2++WTWvIc32wtNPPx1APDAXT8Q/+uijy/w+tlhnM2mfbSiPPvoogPjazZtuuqnqXr16qeagNNdee22532NUjPLeT8MoRnh6Dedx/fr1Ux2sYhxwkfPAZ599tjpPscqEaUjjx4/XtN133101TwEYO3as6ppeuzmNJIs1T6n54IMPVPMULrbBB7twPgL85IpBgwYBiFs7eToXW83Lm/rC63zzNIMJEyao5rI4BHhjy+j111+f9bkbBhCvrw8YMEA1r4O79tprq37vvfdUh6l406dP1zR+Rnl6BecZzZo1K5VWUZKC1KVNn+Qgw0xdsFjztE1uR4QpqGltI743bFHntbI5EGe+KZwzMQzDMAzDMAzDMIw8Yg1kwzAMwzAMwzAMw0COLNbBesY220ceeUQ124PYEsSW2hCt8s477yz3+9im8fTTTwMAzj33XE3bY489VL/77ruq0yJrV4Rp06apTlszttDgKKu8zvSFF16oevHixQBKolgCwIgRI1TXq1evzO8I9hYA+Pbbbyt0fuGZ4PV1+V6xlYXtg2zpr2uwrTCsbc02lSOPPFI1R+UtD7NYG3UJjtAbpusUO1tssYXqcePGqe7atavqli1bqr7kkktUB8t5PmyCSdbIMWPGqOYygaOocjkW6hS8YkIxMHDgQNUXX3wxgPg631z+pkWgTmKXXXZR3alTJ9VssZ80aZLqUG/jaWr8fHDUbMNIg5/nr7/+WvXo0aNVc6R5nkYXpgW0a9euQt8Z8g8+Lk+9ZB0iZQPxd+ixxx4DEK9bpq1+8+GHHyamczuotsL5LxOmV+68886Jn6fZ33m1gnxEL0/DRpANwzAMwzAMwzAMA9ZANgzDMAzDMAzDMAwAVbBY85D4b7/9BiBurT355JMrdDy2giXBkauTrLUvv/yy6kWLFqlmK0CItg0A66+/vurybEO//PKLao6sd91115W5XyHCUUH32msv1SEiNNucDzvssKyPy7YSjgQYotoB8ch2H3/8seoQZfvuu+/WNLYABhs9ELfJ1GXuvfde1W+88QaA+LXp27evan4HdtxxxzKPy5FTmSZNmlTqPA3DyB+cj86fP18125KvvPJK1bfccgsAoGPHjpq26667qmbrXIcOHVTnwhaXZL8LkbmBeNnLZTnbJTlSczHx5ptvqg5Tt0JUdaB8K3UaXE/j+srhhx+umu9puMZs4y5vepVhBH744QcAcYt17969VXOdkxk1apTqOXPmlPqc65EMT79buHAhAOCTTz7RtE8//VT1iy++qPqrr75KPF6wZ/O2K6+8cuK2XC/l/I+nNNZW0izWIRq5WawNwzAMwzAMwzAMoxZhDWTDMAzDMAzDMAzDQBUs1jxU/s033wAA/vrrL00LtmsgvrA9WyLYzhn2nTFjhqaxlZoj4bF+4YUXAMQjyrElgo/HkfJyQZcuXXJ6vJqA7eQcyTJYX6ZOnappxxxzjOoTTjhBdfv27Usdb4MNNkj8vvvvv191sAIDwHPPPac6RDk/++yzNS1YvoG6Ha06Dbak/P777wCANdZYQ9PYIvfkk0+qZssiW+dCxPJ77rlH0zhafFokR8MwigN+h4cPH66ap2OEfGDKlCmaFqIqA/F8hVenCGUCW7M33XRT1ZzvcD71559/qn7llVdKnTPvt+WWW6oeOnSoarZtLrdccfb5t2jRQnWYbjZs2DBNO/roo1U3atRIdVqdK4nLL79cdcOGDVWfeuqpqkMUX65D8baGURah/sjT7Dp37qz6pZdeUv3ZZ5+p5jp9qJfwM8hR9fl55Gj1Ido6T4n89ddfVXOdidshPH0hyd7LK7vMmzdP9ZAhQ1SzrZqnEtZWeNUaXuEkWKzT4GvD97RQp3EUZ2liGIZhGIZhGIZhGDnGGsiGYRiGYRiGYRiGgSpYrJNYYYUVVPNQekUsBxwZMxsGDBgAAGjTpo2m8SL3hxxyiOpgBQeAzz//XDXbQZLg6Mrjx49X3bp16wqda6HBdutgf77ppps0rX///qoff/zxSn3HBRdcoJojh1999dWqg8WLrXdG2dx1112q27VrByAeRX7SpEmqBw8enKiZYE3s1KmTpnHUU363DcOoPeyyyy6JOsBToXiazOuvv15KhyjYQPnlahoc9ZbzObZ01zYuu+wy1SGSNK8EUtFVQSrC6quvrjrUly666CJNq2wEbaPuwRbkwLHHHlvufmynDtMu2AadBk/17NGjB4B4dOnqhKeT8HSIugBP5/jnn39Uc16SBD8LXbt2Vc1260LCRpANwzAMwzAMwzAMAzkeQc4HYdSR1z5OI6xxlqnLg4MVcUCTQp1YXhnCCCKvj3n66aer5jUoOfBZ0igBBxzZYYcdEtONqsE9bqeddlqpzzkgy/vvv6+a10LlkaHu3bsDiAdfMAzD4DXQ991330Qd4NGEpUuXql6yZInq77//XjWXoWFtzfJGIWojHEAtBEjjMvfVV19V/e+//yYeIwTvSltHlB1abdu2VW3lspErevbsCSD+DG644YaqN9poo0TNeUwSacG2OL8JDrpu3bolHoO/o7LB/Pi3cLDauuay4ECB7Bo6+OCDy9yPr/t6662X+xPLMTaCbBiGYRiGYRiGYRiwBrJhGIZhGIZhGIZhAKgFFuuaYNttt03UtR1eb27XXXdN1EZhwhan7bffPlEbhmHkErZMr7322onayA62QbM2jEIl2PXPOeecnB6Xg3ilEdZMr0t19HzBlvI+ffrk8UyqFxtBNgzDMAzDMAzDMAxYA9kwDMMwDMMwDMMwAADinMt+Y5ElAMoPF21ksqFzbs3yNysbu/6VJifXH7B7UAXsHcgv9g7kH3sH8ou9A/nH3oH8Ytc//9g9yC9ZX/8KNZANwzAMwzAMwzAMo7ZiFmvDMAzDMAzDMAzDgDWQDcMwDMMwDMMwDANAFRrIInKWiLwvIo+KyIEicnGuTkpEfsvVsVKO31pE7vN6SxF5S0T+JyIXZGx3v4gsFpF5Kcc5X0SciDT1f+8vIldX57kbxQu/M9V0/KdFZGOvrxWRLzLfJRE5T0TeE5E5IjJBRDakz/4RkVn+3wuUPkJENquOc64sGflPbxG5vRLH6CQiL6V8NlFE2nn9soisWs6xdPuM9FYism8Z+1UpL/LHn+rv2TQR6eDTaywvEpFzRKRh+VtmfbweIrI1/T1cRA71+l7+LGV/3T4jvYWIHFXGfuuG50FEuonIdBGZ6//vTNsd7t+f+SJyI6XvJiIzRORv/n4RWVNExmT7+6uKiKwqIqfV1Pf57+wtIs3K+PwWEdnN6/tEZLa/hk+LSGOfvqKIPCEiH4vI2yLSwqd3oHxptogc5NPri8hkEbHlKusYucj/s/iO1PKhusimPBCRDUTkNV+OzxeRs+mz1UXkFRH5yP+/mk+3uqlRisz6YRWPdY6I9PL6MP9s/ptZLxKRlv65nu/L15V8+pH+7zkiMkZK2lX/5fK3RnHOVeofgA8ArF/ONstX8ti/Vfa8sjz+UwC293otAO0BXAvggoztdgPQBsC8hGNsAGAsoknyTX2aAJgJoGF1nn+OrkFOrjGATgBeSvmsNYD7vO4OYA6AWQCmAdjFp28IYIZPnw/gFJ++sk8L/5YCuMV/dgaAPvm+hpW4VonvTGXfk4xjbANgJP29I4B1M+8zgD3C8wngVABPlPdMANgdwLB8X7+0awmgN4DbK3GMsp7diQDaVeBYiduXd25VzYsAjAOwj9f7ApjodY3lRQAWhjww4bN6lTjecACHpv1d0f2zud/+80EAunvdGkAzr7cF8JXXawD4HMCa/u8HAXTxugWAlgAeyvx+AA8A6Fjd94LOo1SZVc3fmfq++Gs2lf5ehfTNAC72+jQAQ70+IuRNABrC55GI8rTF9PeVAI6uyd+axbWodNnq84tm1XhuDQBMCu8lgDEAfsp8L3z+cS2ADwG8D+Asn94JwM8oKZf7+/T6ACYjB2VZlr+jyvl/wjGXz/i7zPyimn5XueWBfwfaeL2yv0db+78H0vt0MYAb6X6WWR749zTc128BfOX1TwDeq+Iz7QB0pbQePi3rfL0S35uYDwK4ms+lCscvt37rP0t7x84A8LG/Dk0pfX8AV9fQ85ardsDy/veHfHkrAFsgo1yg7cIzvgaAej59MUraUgMBDPB6QwDjauJ6ZP6r1AiyiAwFsDGA0SJyLvfg+d77oSLyNoCBItLIj368IyIzRaS73663iDwv0cjLRyJyZcL3NJZolGuG71noTp/18j0Ns0XkYZ+2pog8IyLv+n8dE465MoCWzrnZAOCcW+ycexfAX5nbOucmA/gh5TIMBnARooc7bO8QPRD7Z3Md6wCXArjV6wmIXopWAPoAuNenfwNgJ5++A4CLRaSZc+5X51yr8A9RR8Szfp/7AZxZY78iByS8MwNE5GEReQPAwyKykog84J/zmSKyh9+voYg86XuLR/qRlVIjlQCOBvB8+MM5N9U5903mRs6515xzy/yfUwGsn8XpTwHQtVBGajKvZcZnB/hrNFNExovI2j59dxqFmunzAQBo7EexPvCjEZLwfQupN/MKEVkgIq+LyOMSH+k9zOdzH4rIriJSH1FhfLj/3sMzjpuLvMgBWMXrJgC+9tvnPC/yefkon+fOk2gk9SwAzQC8JiKv+e1+E5GbRGQ2gJ1EpK2ITJJoJHasiKzrt9vE9xRPF5EpEo2Y7AzgQACD/DXbJOMceGT/BH+t3xGRYRIfRdpNRN4UkU+lZDT3BgC7+uPGnhvPIYgqM3DOzXTOfe3T5wNoICIrInruPnLOLfGfjff7wTm30Dk3B8C/Ccd+DtE7WhPcAGAT/zsHAYCIXOjLxDkiclXYUESe89d/voicROm/ichgnz5BRNb06cGxMMfnR6v569sOwKP+OxtknI9eVwBwzv3ijyWIGmyhDO2OqMMBAJ4G0EVExDm3zDn3t09fibYHava61gS9Eb1PWVPBfLkPgGedc//4vwcBODblPDYAsKVzbisAI+izKVQ2Xw0Azrk/EZXxh5c6Uo4pJ/9vISKvSolDqnk56bH6ahnf2UGiUa+ZPl/Zwqf39u/QK76cOEMil9ZM/56s7rebKCJD/PsxT7zTJ+M7sioPnHPfOOdmeP0rog6M9fzH/A49iKghmlV54Jz7nupbQwEM9roVkvO0ijAXUadX4EgAs6t4zErhnOvvnBufg0NlU78F0t+xNwB0RelI1KMAHCA5dGVlQxllRFl1nkBnADNCPu2ce985tyBhuz0BzKFn/HufF4n/18iXC6ugpC6zCMAaIrJOLn9vVlShx2AhSlr7veF78BD13r+Ekh7K6wAc4/WqiHq7Gvl9vkHUg9AAwDz4ngb4Xg1EvQqreN0UUW+LIBot+5C+f3X//2MoGZlsDuD9hPPeA8AzCekDkDFq49NboPSoTXcAQzKvg//7aAC31WQvR8I5X4iSHt/BAF71ujOAR8M1RtQzORtRQ2ltn74mgGcAvOv/dfTpjRA1TN9B1BMZRlo6IaGXFVHP5oKU89sp5d6E0ZlmGembA/gCPuq6TxsJoEM+r3MV35kBAKYDaOD/Ph/A/V5v6a/DSgAuAHC3T98WwN9IHqmcBGC7hPTUHkIAtwO4nP7+G1Hv51QAPTK2fQVA23xfw5Rr2Rsl+c9q4TkB0BfATV6/SM9yY0R5SydEoyHrI5pu8hZK8o+JKMmPFiLKf9oj6iFeyT/fH8HnGX778F37AhifeW4JvyEXedFW/ln5AlGP/4b0WU7zIkQNnWH0d5PMe+H/dgB6er0CgDdRMuJ6OD3nEwBs5vUOKMmnhiNlBDncF0SNiIUAVvffMQXxMugpf0+3BvCxT++EdMfARgCmp3x2KN3P1QB86e/F8ojyyhczto+dv09bD8DcGno3Ys8JokrJPYjKzuUQlc+7+c9C2RnK4DXoHh7tdX+6tnMA7O711Shx9UxE+gjygwAOyEh7AMB3AF5DiaNlHshhA+ATlLzjOyDqqPgNwEG0TT0AS2riulbg+of6S2P/jM9A1EAIZWYLRI2aYf43jfPX///ZO/N4q6f1j78fRDJkyJAxogg/ITJFprjmiGTMeLm4ZZ7JLLm41zxnDN17jSFjUlJUGkhxCZkzlzHW74817Gfv893n7HPOPmPP+/Xq1XPW3t/1XXt913eNn/WsXuH3TcfXM4sCm+Dr9vF4xVpbld/X4uvrU0KZ+xf+XXu/sPyptL0KtCsIq/Be4Nv5tTKur+wd2hB4qp7yeCbZ9f8TwGHBPgJ4tIrwwaj+arHfiu+wx9WxHQn1drj3e/j2YDl8exJVcNcA/dXzui3Y25C9slmt9kCVpY/I9ZO/U59Jwd8ltwf6nsXKa/isPX7yazy+Dl4nI66+wA34uqMF/r0YT369vgO+XzkF389cRD3nC8m9Q+uE8M3w7fVEfJnuWCRvsvJZ3/cK4O2QtqtC2B7A2BD384S+cUEc1erfUvl7M5MCBVYoO/vXw3sU66rMNoJK+jwF8VwInJgRPoL8FeT+wL34umwCcLr6rBfwA35cOBL1Toayt29d50fhv7py0jXU5WYoe+BXBd8MmdUSP3gFeM75GYSf8auDWxfEI8BlIjIZX1BXBlbAD/SGOudmAzjn4srKjsD14V6PA0tK2N+kaAt8RQ0Jszpn4zsNWXxJNWeA64BXgG7B7oJfJWsRwkaG8MXwsrcNQ9jRIfyf+JnDTfEd4jgTdg6+A7sZviIfJCKLVZKGLvgOT0JEeorIO/gZsiNU+KrhGX+MlwR9Sj5RbudU2BvqNzZVHg9lH3zZvw/AOfcOflaxQwh/MIRPxVfkWVSrXIvIwfhnNEgFr+6c6wIcCFxbsHrXGMp1KawCDBeRKfiJovVC+Gjg6rDiuZTLrUiNc87Ncs79iW8I2lUS91bAY865X5yfuX+i4POocBhfRTyRWtVFgeOAk5xzqwInAXeoz8r9zKYAO4nIQBHp5pz7vsj3/sAPHMHLrNYHngv18rnAKqFe3hIYGsJvwedHqWwGvOyc+8Y59zt+QKx51Dn3p3PubXybURWZz0JE1gMGAn8FcM59S9iagK9nZ+J/b1U05PvTI/ybiO+UrANEnwJ/Dyv9r+FXDGP4n/jfCL5e2lpEWuPfnZdD+N34TlRVVMhb59zh+PyYRgmrjs65sc659fAdtrMk7FsL/YzfJKcIaUz8gh/Mb4xvM/8RVkfA5/MN4Td9h+/8/Rvfrh3k/ErUPOA6fGd+E/zA4VIV/8LOuS7OuX+Ev9vi24vd8R3/PMQrWtZ0zs0sIe3t8cqXN0Tkacn3QbGFeBXJ0+H9iEzFP5+GZAv8Qgn4jvjWVYRDfn+1GK3xddVU/OBF/+6XnFe8fYUfIMd2YQr57cAQSGqgJaWiX4vqtuGL4+vZ/i6oMjShv6T7TLWpgyqU1xB+K35gtAl+Mv/GItc7fB9+Z/wCk/Zx0hI/aO3tnNsAP/F4nLp2dniHbgr3AC+x7+ac2wjfF7+suj9IRJYFegLrOef+D7gkfDQK2DzE/SBeKVpIyf3bGlLf/dtibURVfZ5IqWV3Ify7d1D4v6eI7BDGJ8cRtjbh+7lnqesapP2sK8nkXGULvvLPW24Xka7kv7xk/H0QflZuE+fc7yIyEz/ALsYC+IL9SyXf+bmKOKqiPX61YVJo61YBJojIZs65z0PcP1dyfX0wHthERJYEfsUX+C74F+7v4Tu/4WeJ4vd3CvaOQKdcO54mGXoAeyp5hZ7oyCKrU/QI8Ih4Zy0Xh3vhnPsY+D/xTl4eFZF/O+e+UJceQEWJypf4l7gpM7fqr5RMyeVaRHbET3hs65z7NYY75z4J/78vIiPwldX/wseNoVyXwnXA1c65x0WkO34mHOfcFSIyDL+6O1pEdg7f/1Vd+we1qxNjXKXGU9u6COAwIDppGUq+tKusz8w5N0NENsbn4SUi8oILEssCflEdTgHecs5tob8Q6qbvwkCgLtDPtYJsPoMKz0JEVsErVQ51zsX3AOfcE4SOgnhZcikD5IZ8fwS43Dl3S16gfz92xG9x+Sm888XKY2HbXB0yy7lz7g8RiR3Qu/AKiFWBWUE23Br4uuCaaeIdy6yP70QCLIIfjDY24gT/NvgJhzjBD/CBc+7NYBebUNOTS+BXy/W2mYcKvv9omOh7W8LWkgLa4Ac3pbAI/j3uIiL74Afn3fB9idWdc3PEOx98lDCpEp7nbyKyROhMNxVKaYcvxg+Ee4p3HjdCfabrmj/V33+S3w5U1d+tThveAj84vt8591/10Rci0tY595n4rSxfqs9qUwdVKK8Fk5zxe4tUEseD+P5na7zq4ewQ3jHEPyP8fTdwPF4hAfkTz/sEuzVwd5i4cfiV6eryPb7euEO8M7bYH14FeCjk38LABxnXlty/rSH1PSAs1kb0L/H6UsvuLGBkXNwUkafwvlV+AIjtrIg8jN9DH2mQ9rM+jnkaDpwYZ05FZCP12U7ive4tit8rMbrg2tbAl2FwvB1+szbAi/j9fsuGOJcJ4c+i9qaKSFbnaxqwVk1/jHNuinNueedcO+dcO/wD3zgMjsGv+mV6va4vworKB3hpy6v4lY7t8L97Wvja72pFVnfo4yRD3GO0snNuDrmJjhi+mnMuxpVF0RcmzKCuKWFfpwr/FJ93aeZMRDbES5vGF0TTVAZspfIKYS+diHTATz5Mx78T+4fwTsAGRa4vqVyH9+8WYE/n3JcqfGnxeywJz2UrvPQo0uDlukRa4zva4AePgN/vGt7dgfitAzWZXBmN3xvUMnQOStnf+yNempRFreqiwKd4J2rglTXvqs/K+szCBNZPzrn78MqDjcNHlf3G6cByIrJFiKOFiKwXVjw+EJH9QriEd72q+CKvA9uGcrsQuRWNyqgs3hmoQUpY3RmGd3iT1y6JyPLh/6XxjqX0pEQx6vP9Kfydw4EjJOcteuXwG1oD34bB8Tp4x36RBfCSN/CKklFBMfCtiMT6+RC8/DfrnppUzsNzTjZ+v/k74XuPk3tne+EVS05E1gjPGPFe99fBr9zHVaDZoc1rbOgJ/s54SXlsE0uZmIuTS7HN3cA510N9Xjiwq2pSqDoTcrPIDUwewTufwzn3Q+gP4Jx7CmhR0I439GTFq+T2uh6Eb1crCy8V3a70rWHaegOIyNbA9xkKnFLbcMErhaY5564u+Fi/Q4eh/JJQuzooq7wuQJjkVP/WLRaBc24cvv/SRg2Gq3Nv/Z7ECYv18ZLoak80O68i2wzv72B3cn4SrsNL9jfAK4ey4q52/7aa1Hf/tlgbUWqfp9S+zHBgA/G+dRbC913exr9bnST4usAv2OnxRYP0P+tjgHwxfnZnsoi8Ff6OjMPPgk3G7714o+Da+4Eu4uWShxIaUufcW3ip0cvi5WGxkvh7+P5kEXkbOLYwMc7LV1tLkGSJyIoiMgs4GThXRGaF1Q1EZAh+n0PHEH5kCb93O3zHqqF5BS9HGRnsY4GJalBcjGKTDJVNdGSR98KIyFrq2o3xDenXIrJKmCCJHc6t8Z3qSB+CNKmApjJgK5UbgQVCWX8I6BtWd2/EDzDexkuA3sLPfBYyDL/PBQARuTKU61ah7A4IHw3C7wEaKvnHOa0LvBHep5eAK5yXpxJWI35Wk0CNmQH43zYe7/k80l+8c5TJeKcnT1c3YucdpjyOr6+exkvoismMIy/hK/4KTrrKVBcdjZduTsLLzI5Rtyh3XbQBME68JPoCcpK0W4FnJDjpKviNv+EHOwNDGt/ErzqA76geGcLfwkvvwK80nCbe0U37wjhDvJ/gf+84fCM+k6qfxWTgD/Hy0DznPs65ucD/4uAN72F0LeB8yTl3Wz589s/wPo7GvyczAERk0/D89gNuCe1dpN7aBefc13iVxFQRGeScexYvLx0T6pd/4wezzwALicg0vCT3NRXNXGAz8ZLS7fH7jcF3ugeF96izCh8M3CzZTrp03ST4lZ8p+PenrYrjDrwzlvfw70BcQdgar9h6Ez9Y+1tcgaDxtLdZFJvgrww90ZA5uVTTxDi/PWBBCfL0KngUn7fgO7GxjK+o2vHN8H3Ir8PfjWGy4kTg8FA+DyGnrikWXipXApeLyERqrjL6JVx/M1ChL1mN9mCr8Bu2V3VTPErwCvzC07v4FUwttS/ru1LFJGcxziS3chyZjl+RjnWvnngrRq0nLMKAr3WY6DkJv4e+MO7Dsq6lxP5tTdIVqNf+bbE2ohp9nqdR223Ey81n4bc2DBOR4eE+3+LHa6/j+wITnHPDwuLYhcBI1bZcFuJqgc/rwvFh3ePqedNz/EeZXPPX8N4nAUfVQbwrAC80VJ4WpGUH/EBgsfD3DOBk9fkcZfcCBge7DX6ANhk/sxOP3VgUv/I4Bd+Zjc4rulPc+cAU/EsGcEa47k3ynSHtFO41Kfx/TEEc75Pt+GECwaFMc/6Hl9W1DHZ7vDJg4YzvLYrv4Fb7WJ0S0nAScGRD50Vj+AcsHv5vha+wNy5D3jbruqgensVCeMlzz1rG1xO4pI7SOhJYuqHzrBrpLetRi/h9fUvVQTr/C3Ro6PzKyrvQlo4J7eBd+E51Oyo6UTuV3JEm+5LvpKtzKDtxEuno8L0R5Du/GUy+Y7tiR/bdQf5xO6/gpaI/41eNdw7hUUExJfyGeCzLCSEdcd/6liquXgRHhfavQr7nPa9Kvtco2gMqOukqVl7XwE+0TcL3F8/PiKsvGX19SnfSFZ2xdSF3jOEW+D7tRPxE7cyM+Nvh+8Cz1L/94n3xk3Pj8P3OKeScuO2F73eOxy8ojCiSR1X2b8Nnxd6xv4e/5+GVYLera54kw+lqA5Xdkvo8+MnLtevg/j2Bixvit0dvr/WOiPTFVxgnNMC9WwL7OefuLXO8m+Kly29W+eX5gLBK86NzrhQJYnXi3Qg/2M9ynd+sCLPJL+FVGAKc4ZzLXP0Uv692mnPuozLAYciyAAAgAElEQVSn4XDgXpdzbDXfIiIP4D0jtwTuds5dXsv4rC6qISJyFX6VpCVe+dLP1bJBE5Gj6qC+Wg7vQf3RcsZbl4jIHOdcoYPL2sTXFa9CKeZksCZxLgwc4Jy7p1xxNnfC6tZJddF2ish/8VsSqiOfnS8Qv7//VFdRJVn4PWsPmgh12L9dAXjAObdDOeOtKaX2ecQffbaC8xLzct5/P7xD51L9J5Tv3g01QDaaP3VY2e+EP4t0ZjnjNQzDMIzmjIgcge/oluJcrtQ4bbLCmK+wyYzmjw2QDcMwDMMwDMMwDINqOhto06aNa9euXR0lpfkyc+ZMZs+eXcpRI5Vi+V8zypX/YM+gptg70LDYO9Dw2DvQsNg70PDYO9CwWP43POPHj5/tnFuu6m9Wjj2DmlGdd6BaA+R27drxxhv170isqdOlS5eyxGP5XzPKlf9gz6Cm2DvQsNg70PDYO9Cw2DvQ8Ng70LBY/jc8IvJhOeKxZ1AzqvMO1NRdfZNBS8i/+y57j3eLFv6M8cUXL5tPkmaNzsf77rsPgO233z6FderUqd7TZBTn+eefT/a0abmj5XbfPXek3RprrFGvaTKMuuDHH39M9tChQ5M9Z86cZP/222/J3mmnnZK94YZVnVBiGIZhGMb8QH2cg2wYhmEYhmEYhmEYjR4bIBuGYRiGYRiGYRgGzUhiPX78+GRfc801yX722WeT/dVXX1Uax1ZbbZXsvn37Jvuggw5K9qKLLlqbZDZZtFR91VVXTbaWLkYeeOCBZPfp06duE2ZkcvbZZyf78suzj+rt169fsvfbbz8A7rzzzhS22GKL1VHqjNowZMiQZH/4YW470/rrrw/kS+fnNx59NHfU8JFHHlmta3v06AHAww8/nMJat25dnoQZhjHf8c477yR75ZVXTvYSSyzREMkxDKMa2AqyYRiGYRiGYRiGYdAMVpCffPJJAPbff/8Upmf9d9lll2Rrpy2//PJLsqNXs7lz56awo48+OtmjRo1K9uDBg8uQ6qZHMYc3u+22GwBvv/12CrvhhhuSbSvI9Yde5b/llluSrZ/BwIEDk3377bcn+6KLLgJgmWWWSWE33XRTnaTTqD762d56663JHjFiRIXv3nXXXcnWSpj5gVmzZiVbJHeSg3be9eeffyb77rvvTvZpp50GwJ577pnCXn755TpJp2EYjYePP/442bEe+Oabb1JY7OdAvjIly7HrCy+8kGzd/9xmm22SrVWJyy67bLJj+7v66qunsNVWW63EX2EYRjmxFWTDMAzDMAzDMAzDwAbIhmEYhmEYhmEYhgE0UYl1lFUD9OzZE4DNN988hT3++OPJ1gdp33vvvZnxLbLIIgC8/vrrKeyCCy5IdpSfAhx//PHJ3nTTTaud9qbKOeeck+zll18+2fFZ7LPPPilMy5WM+uO9995LtpaH7brrrsnWzkG0jCueg3zzzTenMP0OrLjiiuVN7HzEhRdemOy111472b169Ur2uHHjAHjllVdS2MiRI5M9evToZJ988snJHjZsWLKjU7Vi573PD2gnilqWvuCCCyZbO5874YQTkt2iRQsAjj322BQ2derUZEcnaIZhNE7i1jl91vmSSy6Z+d0vvvgi2Vr+PHv2bCC/n9O/f/9kn3feecnWdXiUU//1r39NYVo+/eqrryb7xRdfrPR3LLBAbu1K1/eDBg2q9DrDMMqHrSAbhmEYhmEYhmEYBjZANgzDMAzDMAzDMAygCUmsv//++2RrD9ObbLIJkH/esZbZaS+lbdq0SbaWsGj5XeSMM85ItvYa+69//SvZxSTbzREtm9aejo3Ggz4TV9OhQ4dkn3XWWcnWcuqIfi9+/fXXMqauaaJleDp/Z86cmezPP/8cyD9n/ZNPPkm29gAfZbwARx11VLJ//vlnID//27dvn+ydd9452QceeGCF6zTz8/nVxc6p1/nUsmXLzO/Es8C17Fqfq2wS6/xzXfV2gFjHbLvttvWeJmP+Zt68ecmO9aQ+VePQQw9N9rRp05I9fPjwZGvP9hF9WodGe8TXJwZou7bo9Fx11VXJ1h72u3XrVrb7GYZREVtBNgzDMAzDMAzDMAxsgGwYhmEYhmEYhmEYQBOSWGuZYpQ0Ajz99NNAcWmd9hz4ww8/ZH5nvfXWqxDWqlWrZHfv3j3Z2iv2/IqWgUb0M9GeG436448//sgM1x49H3jggWQfccQRyY7e2bX8VHu5bow8//zzyf7nP/8J5HsY1VsntFxOy0S15C7K8vTn1fHIrusg7fVbP5ell1462drbaZTLbb311ilst912S3b0zgr5kvksWf38LLEu9tvnzp2bbP0MNHHriD4RQXubPffcc8uRxEZN3Bqgy+yAAQOSrbcsaRnoUkstBcCQIUNS2OGHH57sDz74INnFJO5NFS25jV7ls7ZtQX69sOWWWya72PeNqrnnnnuSrT3/R66++upkr7DCCsleeOGFk92xY8dkx20wepvMZ599Vp7E1oCFFsp1088///xkH3DAAcnu3bt3suO7aBj1gW4r4qk2egyw1lprJbupnYZiK8iGYRiGYRiGYRiGgQ2QDcMwDMMwDMMwDANoQhJr7aV6nXXWSXbnzp0rvU7Lb5566qlkay+Hxx13XKVxbLTRRsl+6KGHkq1lm4svvnilcTR1VltttWRrKalzDoCpU6emMC0dNeqPLE+ckC8P09sMevTokeyNN9647hJWR+h3Lkobo8SnVLRH9k6dOgH50kf9vp955pnJ1vLRlVZaqUJ6NDFeyHndB7j88ssrTVt8twptjZYOR5p7XVQZxbba/PTTTyXHoeVheutIc2XEiBHJ3mGHHSp8rvP07LPPTrb22v7ggw8C8OWXX6YwnXfffPNNsuP70lzQdYQ+YaMq2rZtm2wtl91ll12A/HxaeeWVk11si8D8yiqrrFIhTEuRdfnOkmBD/mkFsX+5xx57pDC9rWXVVVdN9jnnnJPsWbNmAXDNNdekMP2s9KkROk06Dt3Piui+qva8feyxxyZb/94bb7wRgH333bdCXIZRDvS2vf79+yf7pptuqvQ63TfR0ussW5/iofu2+kQj3Z/dbrvtkr399ttX/gNKxFaQDcMwDMMwDMMwDAMbIBuGYRiGYRiGYRgG0IQk1t99912yq+MJTXuF1XZ16Nq1a7K11HHgwIHJvvjii2sUd1NByx20XDHKirQnzyyv4EbdU8yLtfaCqSkm220qaG/DUdp42223pbDHHnss2dqzp96isdxyy1WIV8u0tXyyV69eydaSu7pCe9Iv5oFfb/OIzM9erHWeaaojsZ4f0PW13i4QvfkefPDBKUx7u9dt72mnnZbseLLB/Jj/WdtTtNxPS3K1F+V333032Vp+qyW6WWgv4FpeHCXbOkw/r1LCYxxa0l3smTYWttlmm2THuk+fenLDDTck+//+7/+SrdvF1q1bl3y/Tz/9NNnvv/9+smMfUEufNXp7zdprr51pH3bYYSWnQ29rO+aYY5J9yCGHALmTEQCWX375kuM1jCz0iUC6vL311lvJPuOMMwDYeeedU9h7772Xaev6b8aMGcmO2+V+/vnnaqXv9ddfT7ZJrA3DMAzDMAzDMAyjjDSZFeR58+Ylu9iKWF2x7bbbJjvOzgEMGjQo2fvvvz8AG2ywQf0lrBHw66+/Vghr7DPOzZViK8LF3pdiTr2aItGhyq233prC9MqIdrRXFXo2U1PTVWN93mZ1VtL0/fSKiCZrBXl+dtI1P65g1oR+/folO6qAAMaMGQNAly5dqowjq00u5Rzq5kbWGcajR49OtnZoUwy9shntHXfcMYXpFX/t/Ew/uxg+efLkFPbMM88k+9tvv60yHVlox1E6nbqvo+vX3XffHSjuMK/c6BX1qBo6/vjjU5heTdIqoKuuuirZ1VlB1s5edRvap0+fSq9bc801M9M8ffr0ku+tWX/99ZOtf8tWW20FwJtvvpnCtEPOumT27NkV7q3R9YB+L3TfRatFI7/88kuyi60sxnzUK+davaHRirJS6rr5lUsuuSTZ2hGcdj6n1ShRcXfLLbfU+J6LLLIIkN9v0vWfLvdLLrlksqOKqZzYCrJhGIZhGIZhGIZhYANkwzAMwzAMwzAMwwCakMRaOyCKS/ANwXXXXZdsfZbdoYceCsC4ceNSWIsWLeotXYZRTDJdrBwWc+rVFNHnGUe0LKc6aIm1Pqt0iSWWqFF8WhIUJayloCXW+nxZfQ6gdhgTqY4Tw6aMLu8xf4o5o/n444/rJU2NGe187q677kr2RRddlOwhQ4YAcO2116aw++67LzM+XX9EmfH8KLHOkvbpemOLLbZItj5H+vnnn0/2448/nuyY3/pM6hNOOKHW6dQy1U8++STZn332WYVwLd3WTngmTZqUbJ1+Hfdxxx0H5M7jrU9inmmZ+bnnnptsvS1Ovw+nn356sqOjoWLbNXRdrJ99u3btKk2b/q52zKWdFdWUrPpNy4jrEi05P/LII4GGPT9e122l8Je//CXZ8exovT1g0003TbZ+bs2Z66+/HoDzzjsvhR111FHJ3nDDDZP93HPPJTurT1nTLV86rt9//z3Za6yxRrJfe+21ZNfF1ltbQTYMwzAMwzAMwzAMbIBsGIZhGIZhGIZhGEATkljrJfYsr5G1IXqCnThxYgp7++23k63PBNSyTX2G6oQJEwC4//77U1jfvn3Lmk7DqIxiEuv5wYt1lrSzprJOLbHWZybXFH3+pa4ftFQ6y4tqMTmXTt9HH32U7PicdX3VnIlSToB77rkHyHlRhXxJ/BtvvJHs3r1710PqGgdff/11suNZ4ZAvG9SefaOX4lKkhNqLdWyTi3nS13XNO++8k2wt4bvssstKvndjIqs/IiLJ1l53tednbevzdF9++WUg/3zfcqA9J7dv3z7Trg76+Z966qnJjtLqSy+9NIVpr7f1gfaAq/NRS6y1LFxvM4gSd11O9TYlfZ0Oj5LQUqSeyy67bLI//PDDKr+fxTfffJNsnf+xX1qK9/RyMG3atGRHafVLL72UwnTdO378+GRrT9edO3dOdjwHvNhWSl2WRo4cmex42ox+9vp8ce3RWm+V1Nsbnn766Qr30+/NTTfdlOzm1r/X2yriGff77bdfCrvggguSXcw7eH3TsWPHZNfF1jJbQTYMwzAMwzAMwzAMbIBsGIZhGIZhGIZhGEAjl1j/9NNPydaylnJIrPVh5NEjm5YrarT3QS0V014LTz75ZAB22223WqetMaI9Itb0YHujbjGJdT41lVhrad2ee+5Z4zRFiklGP/jgg2RriVmkmCxRb/PQ8ryVVloJqBtvjg2JlrX961//SrZ+ThEtsd5oo42SrWV+ml9//TXZM2fOrBBHU+f4449P9rfffpts7Xn04osvTnaUzep8KYb2MhrLnJZ9arSkVG9l+ve//53sKC3W0stYpgvR/QEtxdTS5voiy4u1lv499thjydZ1Qbdu3ZKtPe+eddZZAKy55pplTWe50fXMdtttl+x//vOfQL537PqWWGuKtQO6btcy2/h9LSHXUuott9wy2fo9eeGFFwDYeeedM++ny30s65Av764OeuuO9koetznE+gxg6623rtE9SkF7fI4ccsghydbSXf2u6HzS349SWb2tctiwYclecsklk623Qka0tFxLgXfcccdk67Kpn33cAqW3oJx00knJPvzww5N9yy23JHvddddNdiwf2utzXaPr3ejBvXv37tWK45xzzkl2rEfjuwz5UnP9e3W7Eq/LqhNrg+7fxe1UkL/NyrxYG4ZhGIZhGIZhGEYdYQNkwzAMwzAMwzAMw6CRS6z1Ae9anlLMu111uP3225MdJSCPPvpoCtOHUWvPdjvttFOyN95441qno6mgpeMPPvhgsrMkLkbDYBLrfKorsY6SOi2/0tsoakqxLSHFPP5WB70tZLXVVqt1fI0FLcvTMmGdZ7odiFLHL774IoVtttlmydbS7NVXXz3ZH3/8cWbcEe35uanw0EMPZdpXX311svVv1fV59ABbigdcXX9ESV0pEmst1dNEafthhx2WwoYPH17hHgBdunRJtvZSHD0o1ydZ7/ehhx6a7OhdF7LlnJD/e84444xyJ7HOyfLCr7exNSTF2gH9LC688MIKtj7BQH/ep0+fZOuTTO644w4gXzqspdQHHHBAsrXH3f79+5fwKzxXXnllsrWEukOHDsl+7733APjLX/5Scry1oVWrVhXCtGx88ODBydbbg3Q+7rvvvsmO71ObNm1SWE09fet36Ycffkj2gQcemPn99ddfH8jfCqHLid7yMXbs2GTrdiRul9DPePfdd6922qvDAw88kOwTTzwRyN/2sM8++yS7a9euydYSal0fxW03bdu2TWF6W4su43orbF2hPZPr91Jv89H1cOwP1HasaCvIhmEYhmEYhmEYhkEjX0Eu5txGO/GIM+RTp05NYdrpSDH0+Wnx7Me99tor87vx8/mZPfbYI9l6VuaZZ55piOQYGejZNI12MKKxFeR8slYQy33mernRqwjaaUtTRzvf0M9Al3G9chFnjOM5nAAnnHBCsvXqgX7O+gzY6BRJz1DHFYWmQFQ+/O1vf0th2jlPv379kq1XFPTqblRMZK0KFaKdGEWVSjEHZ8sss0yyi83qn3nmmQBcfvnlKUyveuuzXnv27JnsSy65JNlxZagunRIVkuWQRpdZvYo/adKkzDi0E7noEFMrHaIjUcjvj+jwqHrTq7nagZJ+ptrpZjkcm+n4Ivqc94aklBUuvdr36quvAnD66aenMO2cKZ4RC/lOuoYOHQrArrvumsK0M7z11lsv2do53eKLL15p2mJ6IOfADfLbdf1so2JBv9d1SVbbq1Uduq89ZsyYZB9zzDHJ1quT8VkUWzXWTpq0gyhdv0W0wkq/k9pxnmaJJZaoEKbfb51O3Y7o+G699VYgv86ra3r37p3s6DBY1zX6XOpiaGXPf/7zHwAmTJiQwrSqVo/NtIqiHMTypFeNNa+//nqydbuu35P4TunfXZM2wVaQDcMwDMMwDMMwDAMbIBuGYRiGYRiGYRgG0Igk1u+//z6QL6179tlnk63lClraFR0faCcXAwYMSLaWVWhJxGuvvZbsXr161Sbp8wVffvllsvX5otqxWaSm588atUOfG6gp5qSrHE6iGgtZktA5c+Y0QErqFy1D07LTpkr8PU8++WQK07I3fV70K6+8UuF67YBkhRVWSLY+s7K5Eh2K6Xrg3nvvTfaUKVOSrSWBV111VbIvvfRSIP9c0mJkOUjRTrq07FbXQcWcdMVtPNrhzdlnn51sLdvUDjy1XDWePaq3YRW7X7nI2oaht69oR03vvvtusrUcXedb3Cagn5eWS2rHZaWcV52Fli9qKXfcZqDllHrrRrGzXbMk1o3FSVeWbBbyZdW6Pxilv/q5aUet2o79VshJP/Xn+h7a2VMxh4pRDn7dddelMN2f1eVKy63jewv5jpfqg6xzkLWsXUvItSRWy5U18cxsvV1Go53effXVVxU+1441o9wZ8p1qXXbZZZlxP/zww0B+efj000+TrbcN6DL/j3/8I9nR4Zg+L7uu0TLnOJ7Rv0FvQY3nJEN++c2ydZiWKzeWd1ujt4rEvq3+3SaxNgzDMAzDMAzDMIwaYgNkwzAMwzAMwzAMw6ABJNZaHn3DDTckO0qm9DL5Kquskmx9Lubee++d7HhG5o477ljlvbW8SUsz6lMK0djRXv/OP//8ZGvPgVnSXO3pr6Zn1hm1Q8sKtaysmJyrmNfrpkiUcGp51bRp0xooNXWLlnn9/PPPydZSyaaKljVG9NmZb731VrK1nDp6M9Wy6vkBLS8eNmwYkC9B1DI7Lf3Uskh9pmX0FL3xxhtXeW/dlkeZsQ4rRpYkE3KSS90vGD16dLL12cLaY+kWW2yR7HgGqT7T88gjj6wyTbUh6zQA3UZqr9J6K1hN0Xn8zjvvJDtKUrVnX10/aFuf9f7BBx9UsJ944okUpu2+ffsmW8vmG/M5yPrsWo32UD9ixIhkx+ep+zT6TOFi5wtHybzuN+mtHbpt6tSpU7L1VqCsvtPyyy+fbC2l1fJtjT5xpD7I8sKt5dHam7b2YN+jR49k63o/bu/Q+ag9gOvtVHFLAMDEiROB4u3gBhtskGwtHY51BuQ86WtP8Tr9+oQDvXVDb4fo2LEjkH+2c30S6/8hQ4akMN3X0/V9TdFbQsrxnus4arr1Tz+D6HW+tqdQ2AqyYRiGYRiGYRiGYWADZMMwDMMwDMMwDMMA6kliHaUPkH84+BtvvJHsKH/QkiF9ALmW+WhvgNEbXSkSay3L0miJ1vyE9jYd5Sw33nhjCtMSqvPOOy/Z3bt3T/b2228P5HvFnDFjRrK1t9SVV1452VpilOWB2KgcLTt97733gJwHRsj32NeiRYvMOLSnyeaC9rCuJefNiS+++CIzvKlKrM8444xkR4/KeqvNsccem2wtR4ySYsjfdjM/oevRKAvUsuQsyTpA7969k53lCbZDhw5V3ltLi7O2OGjZnN4WUMyrdJRYL7nkkinsgQceSHa3bt2SrdsS7Q13//33B2DPPfesMv3lYvr06RXCdLun5Zz6NA5taxltzHu9xUyj22UtIaytnLA2ZHmKbiynCLRt2zYzXHvnfv7555MdPehXtwy1adMGyO9DnXzyycnWZWLUqFHJ1uUgynO1vPu0005L9t13353scePGJVv/Ru2BvD7IevZaPl2MmTNnZoZrz/UR7cVdy8zLTczrK6+8ss7uUddob/8RvYXg4IMPrvU9itVj9Y324t+nT59kx7Zw8803r1X8toJsGIZhGIZhGIZhGNgA2TAMwzAMwzAMwzCAMkustWTzoosuSvagQYOSrT3qak+ZEyZMAHLexwCuvfbaZGu55G233Zbsiy++uNI0aTli//79k60P+W7fvn2lcTRXTjjhhGRHr59HHXVUCrvggguSXcw7bJQCac9z2nuetjVaJhY9mGuvhVpiOb8Q5VPDhw9PYWPGjEm29jyqpSURLT0aOHBgsrXXWC1fjB5rISfLfPDBB1OYls03FbT3SS3B/f3335NdTHLeVNAeQjVNVWJ9wAEHJPvmm28G4IcffkhhN910U7LXXXfdZGtPmlp+Oz+hJdZRhqjLupYxxq0YkO9N+aWXXqoQbykyRu0ZNbYDxeSdOh1VSaw1WiIX5fcAjzzySLIvueSSZOutJfWFzqvo5VbnqfY0nuXxuhi6j6I98GopdVa4/nzppZcu+X61QXtLjxQ7PaG+0XJ8jZawa+/Esb9aDpn+WmutlexTTjkl09bE8qHl31F2DXDggQcm+8UXX0x2lhfx+qJz587Jvvfee4HGv31LtyP6dJu4ZbApE8uyLnvaU3c5JNaNhauvvjrZ+jmOHDkSyB9n1ARbQTYMwzAMwzAMwzAMbIBsGIZhGIZhGIZhGECZJNbR65+W7H7yySfJPv7445OtD0KP10HOW6X2RDZv3rxkn3jiiclee+21k61lollEL9eQ70lzp512qvS6+QEtSYhewLVUR0tUDzvssGRHSTTkJEFaEq2lYc8991yyv/zyy2Rr2dmAAQMqpE3Lu5sz9913X7L79u0LwJprrpnCtHRUyxejx0zISfy22mqrFLbqqqtm3k97XB08eHCyzznnHCD/Hb711ltL+g2NCS33+u2335L99ttvJ3vDDTfMvDZKr3XeaQ/8NUXXY+VAS+tWXHHFZGtJVVNCe2CN0mrt2VpLIYcOHZrsadOmJXvbbbetyyQ2KfQWAt1Waluj6+VIKRJrXa6zvFhrtMRay4I1WdtGNP369cu0GxotV9dlMgvdB5k9e3ay9VawWFe99dZbKWzy5MnJ/u9//5tsvf0gC/3urLfeesnWW1F0eHw2+jnqExP0M9LheqtbrJP22muvStNWX+j+iO6n6G0c2tt0PGlFn3qy5ZZb1mUSE3GLk95SqLcTaMmozv/FF1+8HlKXzYILLpjspijfbW7bc2IZ12MmXV9qj+26r9lU0HXlpZdemuyDDjoo2eV6praCbBiGYRiGYRiGYRjUYgVZO1+KjgP0TKqe9br++uuTrc8w1s629MpxRG/A1jOoelUyy+GHvoc+k06zzz77ZIbPr0QnK3rWWp89/cwzzyRbr+JE9FnS+sw6XSY0u+66a7LjrPvYsWOrm+wmzz/+8Y9kxzzU55iW21mZXnE888wzkx3VBPrdaYoryPocZI1eCS62ghzRzlmi8zqouaMv7XStHLzyyivJ1is3TdX5WNZZvddcc02y9cywdgaoVyLr++zP5oR2dhbbgf/9738pTK90fv3118n+4IMPkh0dARZbQb7jjjuSXex83ywnXc0NrdDStnYUWp3VSn2G9ZQpUwCYOnVqCtN2/BxyzvAgfyWyHMR+WzFnbPWNLle6/mjVqlWyDz300GRHZ6Hauazuz5YbrcSIzm033XTTFFZsJV47wmrIFWSjcaIdHmtFZnNSz2q1n35fy4WtIBuGYRiGYRiGYRgGNkA2DMMwDMMwDMMwDKAWEmvtFCXKEHv37p3Cxo0bl+w777wz2fp8ZH3mbuTjjz9OtpYPagl2dCil0Q6H/vrXvyZbn9/73XffJVufJ2fk0NLn4447Ltlaeq2dXsQ81bIwfeZaKUQJlJY/NWf079RnG0dZlZb1agndsssum+ydd9452fFcXO0sY/z48cnW78Auu+ySmabo/EM7QNDSuyWWWKLo72lM6LM3dTnVTk+qYt999032DTfckGwtS9QOMKpi7733TraWrVd1Rql2dKhZZJFFkq3f0aaK3r4Rnc9pyePtt9+ebF0m5xdHfnWNbhezzmEthSiD11JP7QhKb9fRZ7Frx2HbbLNNte5p5DtTi2e4lnKWq26DtOPUKMn+9NNPU5h+prru0RLxxRZbLNldu3YtKe31xZw5czLDi/2uv//97wCcffbZKUw7X9Nn6JYDvf0gOok0YiUAACAASURBVNHUjpSKbbPSUlnd9hsG5PfZ9Dnlo0aNSrY+y76poMv6brvtlmy9fbBc2AqyYRiGYRiGYRiGYWADZMMwDMMwDMMwDMMAaiGxXmmllZKdJVfWcsRlllkm2VWdWxzlLZDzqAlw1VVXJVvLg+L5rZdffnkK22OPPZKt5QRaAq5lXvMrhxxySLKjRKqYzK1Xr17J1pKf6NFaP+PVV1+9yntrCX6UvxbzON7c0GVSS5rjueD6fPBiaEnb3LlzK/3u+uuvn2x97p32Qhtl8doLrb5HU0GXze222y7Z2uv+JZdckuws75/6up49eyb7rLPOSrbe5hHP8dXbQ7RscdasWcnu379/sqO3VICPPvoIyD8vVseh0WcEa9l9U0J7BH/00UcrfK7PSdd5rc+A1VJ4o+accsopyY6nDuj6XJcxff66Ds9qT/VpBkbjQteTus4v5oW8KVOKxFrzt7/9DYCBAwemMO1VvxynO2jP2ro9inXdDjvsUGUc+uxmw6iMjh07ZtpG5dgKsmEYhmEYhmEYhmFgA2TDMAzDMAzDMAzDAGohsa6KGTNmJPv4449P9qKLLpr5/ZdffhnIl9v961//SraWfEWPmZCTTh5zzDEpTHueffDBB5OtpZNGvrfvLDbYYINkjx07NtlZss4ffvihyvvNnj072VruHmW/+rk2Z4p5+e7evTsAt912WwrTUlMt8dXEd0B74rz22muTrWXcWq6qJcHRi7X2qq0lvmussUbmvRsz2svxRhttlGx9oPzpp5+e7Jh/2uOjlhz+9ttvye7UqVON0qTrP70VIR54rz3Qau/jV1xxRbL1CQJNleHDhydbe1Hu0aMHAO+++24K021Chw4dkq23Dhg1Z+WVV062ne5gNDe0lFrXqdqDuiZ65z7iiCNSmG6zyyGxvu6665Ktt+DELWuGYTQ8toJsGIZhGIZhGIZhGNgA2TAMwzAMwzAMwzCAOpRYv/rqq8kudtC5JspsL7roohS2//77J1vLCidMmJDsm266CYBjjz02M96DDz64xBQbhWgpkfY+Pnr06GRH6fuFF16Ywt5+++1kaw+p2vvuV199lewxY8YA86dn8aOOOirZcWvAwgsvnMJ0Xmq0V/cDDjigwufXX399sqdPn55sLcM+77zzkh3fIy2D1xLle+65p5Jf0TjZcMMNk63rEl3HaDsLnV9du3ZN9h9//JHsvffeG4B11103ha222mrJXmWVVZJdHa/TxeSuOr6mivZGrb2ljxw5Esj38qrp169f3SbMMIxmxXLLLZfszz//vOTrLrvssmTrLXzl4M4770y2Pilh8803L+t9DMOoObaCbBiGYRiGYRiGYRjYANkwDMMwDMMwDMMwgDqUWJciq9ZEL65a9qk9UGuZ6LBhw5IdvZ4a5UfLfUaNGpVs7eU3ypeeeuqpFHbaaaclW3tlbNmyZbLvv//+ZGtv2fMDWl5VFfPmzUu2lmJV5YH8p59+SrbO94cffjjZe+yxR7KjFF5Lt7W8uKlz8803J3uvvfZKtpb6R0/snTt3TmHa872WAtcHO+ywQ7K1vFt7cm6q6DI5d+7cSr8b2wbI9yxrGIZRV+g6ap111ilr3I899liyV1xxxbLGbRhGebAVZMMwDMMwDMMwDMOgDleQy4F2PtSrV69kxzNbjYYhy5HEiSeemOxtttkm2RMnTkx2dGYEsNRSS9VR6poXDzzwQI2u0w5G9MrnZpttlvn9ePbjxRdfXKP7NXZ0eevTp08DpqR0jjzyyIZOQp1x4403JnufffZJ9ieffALA119/ncL0Srpe1TEMw2iKNAcVkGE0d2wF2TAMwzAMwzAMwzCwAbJhGIZhGIZhGIZhAI1cYq0xWXXTQZ8/q22j/tDOpQyjMbPjjjs2dBIMwzAMwzAStoJsGIZhGIZhGIZhGNgA2TAMwzAMwzAMwzAAEOdc6V8W+Qr4sO6S02xZ3Tm3XG0jsfyvMWXJf7BnUAvsHWhY7B1oeOwdaFjsHWh47B1oWCz/Gx57Bg1LyflfrQGyYRiGYRiGYRiGYTRXTGJtGIZhGIZhGIZhGNgA2TAMwzAMwzAMwzCAJj5AFpHuIrJlJZ/vLSLnB/tkEXlbRCaLyAsisrr63jMi8p2IPFlw/f0iMl1EporInSLSIoTvLiIX1dXvas6I50URWTL8fZKIvBXyeIiItAzhd4jIpPC8/i0ii4fwE0TkiIb8DTVBRC4SkWqdZyMiy4nIWBGZKCLdRGQ/EZkmIi9VI45FReRlEVkw/F3dsr60iDwSnsM4EVk/hC8sIiNFpMmevyYir5byuYi0E5GpRb7TNualiCwrIi+JyBwRub7geyNC/r4Z/i0fwlcL10wMebxrCN9ARAaX4Wca8zFVlfEi1wwWkV7V+H5fEVmpks+vFZFtgn2CiLwnIk5E2qjvdBeR79X7EdvtjirsTRH5QUT6h8+uEpHtq/v7GiOhr9KpjuLuW1gfFdy30j6SiKwuIhNC/r8lIseq6y8VkY9FZE5BvE2ynTYqR0SWEpG/1eL6diJyoPq7aNksByLSObap1bxOt+ubqfpnkoj0VN+7U0S+LOwfhPu+Fq55Q0Q2C+GNauxQk/ahxHgHiMip5bqn+DHAmsHuIyJTQj31TEE7cqKIvBPqqStDWM37Us65RvUPWKiyvws+GwCcWsnnrwJtgr0d0CrYxwEPqe/tAOwBPFlw/a6AhH9DgONCuAATY3xN9V9leVuH99wNuCbYKwMfAIuGvx8G+gZ7SXXN1cCZwW4FTGzovCtjfixYyWcHALerv58Btq5m/McD/dTf1S3rg4ALgr0O8IK65gLgoIbOw3p4Ru2AqUU+GwTsFezFgK2BY4HrC743AuiScf2tKq87ATPVZ88DqzX072/AfO9eWE5rGd+iwMvxnQvv03cZ78IOwATgTWAUsFYIXwR4CHgPGAu0C+EbAIMbOr/KmE+DgV7V+H5m2Q6fLQu8pv7eKLxPMwltc6nPGlgQ+BzvZAVgdeDZhs6vhsjzSuIRYIGCsL6F9ZH6rMo+ErAwsEiwFw/PbqXw9+ZAW2BOQbz10k7rclSYhsb0Dzi7TPFcC2wT7PuB6cBU4E6gRcF3NwXm6XIF/BHqtTeBx1X4g8DaJdy/HUXawhLTn/eeV1Y2y5RfNYqf/Ha9FaGvHMr6l+rvbYCNC/MEeBb4S7B3BUYEu17HDjRAHz/cdwCVjM2qGdd6wCPx94T8j+/8lcCAYG+H7zPFump5FUeN+lJlX0EOM0TvhBWpaWHk3yp8dr6IvB5WqW4VEQnhI8Is8xtAvzCDfbOIjAWuFJFlROTRMGPwmoj8n4i0w3dETwqzNN0K0tEB+NU5NxvAOfeSc+6n8PFrwCrxu865F4AfC3+Lc+4pFwDGxWvC3yOA3cuWcXWAiBwa8mySiNwbwgrzdjMRGRNWsF4VkY7heyNFpLOKa5SIbJj1LMLnA8Js2ggReV9E/l4kWQcBj6m/FwIWFb8S2Qr4FMA590OIV/AdWxfCfwJmxhm5xoaInCd+pXCU+BXxU0N4WpURkZkiMlBEJgD7icjR4b2YJCL/EZFWIe+vBPYK5fsC/ODrDhEZJCILhv9fD8/ir0WSlJff1S3r+EHbi+E77wDtRGSF8NmjIf4mifiV3sXFr5ZMCLOSe+nPS4hmX/xAC+fcXOfcKOCXaiTDAUsGuzWh/AeewE+SzHdILZUJRa4/Avivc+6P8Pcg4JCM792En/jpDDwAnBvCjwS+dc6tBVwDDARwzk0BVhGR1WqT5rqghDJeoY0ouP7iUHctKCKbiFejjBeR4eJXWXoBXYD7Qz21aEEU6f0AcM5NdM7NrOHP2QH4n3PuwxDXh8CyIrJiDeOrNVX0d3YI7eqU0DYuEsKvkNxK7VXiVXB7AoNCHrYXkbVE5PnwXCaEsMznGNIwXUTuwQ+WVhWRw0VkhoiMA7YqkvaS+kjOud+cc7+G8EVQykPn3GvOuc8K4y5XOy2euuin1km8lXB2dS+QoPpSfy8LbO6cGxmC7sdPWm+A7yMdVXDtQPxATfOzc65z+LenCr8JOL2EZF0BtA/ldFDIx0Hi+/RTRKR3uH9meLi+W7j+pBC2kviVwHclrPqFOOaIyDXiVwNfEJHlQniF/lII3y/cb5L4/uvCwEVA73C/3iKyWHgXx4V3M9WFBeh2/Sfn3LwQ3pLQFw2fjQS+ybg+s10v99ghq/6Win38vNXckEftgj0n/N825Nmb4fNuIbyH+PHBBBEZKkHJWZCGv6v67EH1USfJGA+oe3YP9xwW6q+bi7yTug8bF3EWExHB53HsMx0HXBHrKufclyqOmvWl6mDmoB2+cGwV/r6TMJMALKO+dy+wR7BHADeqzwYDT5Kb6b+O3CrW9sCbVc1SAIcD/yjy2fXAuQVh3Skygw20wK8odFNhBwHXlTv/yvgc1gNmkJtpWaZI3i5JbjZsR+A/wT4MuDbYHYA3SngWr+Ib0DbA1xTMaIbvfQgsof7uB8wBvgLuL/juXcAXwEuoGTfgHOCUhs7jjN+2KX5mtiWwBPCuKvuDCTO5+Fnv09V1yyr7EuDEYPdFzX6iVmqAY2IZDnn+BrBGQXoWBj7PSGfJZR24jNyK/2b4GelNwt8LAl81dL7X4nnNwU/QLBn+boNfHYze/eeE/9uRMWsOrAGMzwjPe27q2U0J5eM8dY+2IXwW8G3M2/DZVsATDZ1P1cjPdsA7oazPwHfgdgRGh3dhM1WOxuBn0l8FOqp8exw/IfOyLqfh3ZoItMev1N+Jn8iZSG6mP+/6jPS9Slj1rexdwK/KdA32WcBlwR4ObBHshYDZ6jn2Q73TjeVfZWWcytuIXvgJhJvDd1uE/FsufKc3cKcq28VWkO8mtPMF4TOpuIL8NTAJeBpYL+OaO4ETCsJuA/Zt4DJfob+DbwM+BjqE8HuA/vgV9emq3Cyl81zFOxboGeyWhFWsIs+xHfAnfvAEvk75CFgO3waMJmMVjWr0kYBVgcnAT8DxWeUsI6xG7XT4PdNDnr2FVwr0wdeTU4GBWeVIpwE4DXg9pPnCYvEW3HfTUMYn4euWJULe3xXuPRHYTsX1Cr6tnABsqfJ+JL6enwp0ww8K48rt/eF7B4d7vAncQq4/Ngf4R0jD1gXpO4awWpaRZycBl6q/++PVY4XlKnOVHT/p8QFVrDhS0BbiB5LP4fsCK4Ry17aS8O5UXEF+Hz+IbInvH64aPnMEhRpwPqEMU7y/NAVYueC96kt+H+oy4OD4HXz9t1jBb6zQrgNdQ5mZQ3gvi+VJCFs3/OaPgU9QZY0yjR0ovY8/ADVOCuWynS4PwCnAOcFeEF/22+DL8mIh/Azg/Ix0fEpu1XYpdc/M8YC6Z3f8YsKa4Z7PkaGiwfcFNlB/9wJ+AD4L6Yu/803gQnzd+TKwqbqmRn2puppB+9g5NzrY9+FXvgC2E7+ncgp+cLWeuuahgjiGutxM/9b4ATXOuRfxs8ZLUjlt8YOuPETkYPyM96BSfwxwIzDSOfeKCvsSKLrvqhGwPT4P4+ywnuXSedsaGCp+D8U15J7JUGB38XtRj8C/dFD5sxjmnIsz0l/iK8ZClnHO/Qh+fyuwF75CWgk/K3Rw/KJz7vAQPg3fIYs01rzfCnjMOfdL+I1PVPJdXd7XF5FXwntxEPnvRTF6AIeKyJv4CmFZYO2C77TBS0irQ2FZvwJYKtznRHwn4Q+AUIZ+E5ElqnmPxoQAl4nIZLwMZ2Wyy20WmXVMEQ5yzm2A7zB1I7dy2Qcvz10FL8W6V82iNtZyXhlr4Tt464R/B+LrjFPJraK8g5+A2Qjf8blMXb8xvpHcNgaIX2G7GT8Q/h++4/2ic24zvKxqkIgsVuz6EMfCwJqutNXLo4CnRGQW/jldEcJXxnd4cH5F4Xv8ewd+gqobjZNiZbyyNuI8oLVz7ljnexgdgfWB50JdcC5KhVUJpb4jE/CdyA3xk7CP5v0A//z2xLdLmsbwjmT1dzoCHzjnZoTwu/FyzO/xncI7RGQf/IAzj1CfruycewQgtCc/UXld9aFz7rVgd8VLOr9yzv1Gxb5VpOQ+knPuY+fc/+Hf78MkpyKqjNo8m7XxiybrAb/jV0O3BzoDm4rI3sUuFJEe4frNwvc3kbAHXsfrghIhXLMwPp/6hTK4I/AzfpDpQt3dB7hbvJ+UL4GdnHMb4/sm/wpRHQgMd159siF+AeFMciu3B4nIuuGarcL3/iCnxFoMGOuc29B5NZJmK2B8xu9tga+nngl/rwz0xK8KF9JS/J7Y13QeOuf+xE+4bFgsX4uwNTDEOfeHc+4LwsCkkvAsXnDOfe+c+wV4Gz8hAn7SJ5ZdPY4o1l8aDQwWkaPxA64segBnhjpsBH5QXqj8qfBeOOfGhrK4KXBWKAOVcRxwknNuVfzkxR3qs3LVWaX28UvhdeBwERmAH4z+iN8+0QkYHfLrMHLPRjMZryA6GL+AEillPDDOOfd+SOsQcs9Yk55HKOvH4bfqrBTufVb43kLAMiHdpwEPh1VmqGGe15WDHVf4dyhQN+Jnmj8OD0IXsrkF1xT+XV1+xg/+EuKdJJ0DbOtykqFKES9tXQ4olLC2DPdoiui8vRh4yTnXM8guRoCXlYjIc/gB7P7AJiXEq/P0D7LL1zwRWSBUyDviOxGx8P8X2BJfGRLS8UeQbZyOn8mFpp33Ef0MBgN7O+cmiUhf/MxaVQh+5nR4Jd/5mfx3rPIIM8q681L3w8Pngp9lfl9dtgjVkxQ3Ng7C/+ZNnHO/i8hMSs+zkvPXOfdJ+P9HEXkA33m7By/b3SV8NibUk23wFXpTLOcfOC85RkTewnd+XOjMtAvfaY3vaK6NbytaqOufK2jo18Xv0+7hnItSqh7Anko2pjs5hddHqjNZdBKwq3NurIichveBcFQV1zSGgVoxalLGX8cPLJYJ+SnAW865Lap575LekVDPRPspEblRRNrEzh/wF2BC6GxrGsM7UqG/U/SLzs0TLzveAb8ScgK+o1sKlT3HmvSXqt1Hcs59GibTuwH/riL+2jwbPeDflDDgD2m8Hz/Z8GiRa3uEfxPD34vjB8YfFcSr6Qh85px7HfK2eG2Nn7DBOfeOiHyIV9R9CFwvfivUHyEM/HsTnVw+6px7M+NeO+D7U6+H/vui+PqDENd/ivyuYpNNhZPa1wJnOOf+zI0PEqs75z4R7/DoRRGZEiYdIVeHVRiE1zGl9Bsh914NJqO/5Jw7VkS64v3cjBeRrD6r4BUn0ytJT9E6yzk3LUiE18dPihbjMLyqCPyk3u3qs/qos3R9MI98h8wVfptzbmSYRNoNP8lwNV7R9pxzrk8V99oN/z7uAZwjIhuE8FKeayl1p34enUN6/wcgIg8DZ4bPZuG3UDlgnIj8iW/3v6KGeV5XK8iriUhsSA/EOzqJP3B20LGX7CUTL2U5CLxuHZgdKrAf8VKALKbhZzsJ122El7Ls6fK16UURkaOAnYE+YUCn6YCXKjRWXsTvb10WQESWKfK91ngJCHg5iuZ2/Mzo6865b0NYsWdRKtPxkgrwDdbm4vfcCr7hmCaetcI9BL9y8I6Ko7Hm/WhgDxFpGcp4qftMlgA+C41qqXt6hwPHSc7bdAe1igZAeGYLljDbWbSsi/dauXD48yh8Qxw7D8vin//vJaa5MdIa+DJ0OLcje4a0GDPIDfqKIiILSfC0GJ7X7uTK70f4ck9YWWhJrhPUWMt5ZehG8U/195/kGsg4Kbc+vlGtbKL0M/wEzEYqLHZy4l661Zxz04pcHylpoCZ+n9uGzrmxIegh/KQd+Hpy1fC9hfBl5+vwWWMYqBWjWBmvrI14Br9yPiysaE4Hlovtuoi0EJG4clNyO1wMEVkxzvaHAeQC5PIW/OrdkIxLG8M7ktXfmY731xB/+yHAy6FdaO2cewo/ERNX7FIehtWbWXGFT0QWEb/PstS6aiywrXiv+i2A/Yp8r6Q+koisImFvuXjV19bh91VFbZ5NbRZIBLhc1Q9rOefiCl5tF14iJ+G3f22IX21fGNKe1G3wdcVgETm0SPruVunr6JwbED77pZKVvwp1mJrUPlkFdwEeDBMovYAbY1lSE7Xv4xdDdL1aSh1W+K6/gt/ju2CoO7fBS8eLhVdWVxSyALlxQnyvoEh/SUTah5Xe8/Ft6KoZ9xsOnKjqGv37I3ntuoisEep7xHt2Xwcv7a+MT4GoYtoev8UoUq46q9Q+/ky8sgoR2Riv2Mwj/K4vnHO34fv9G+P9EGyl+uKLifdboK9bAC+JfwkvwW6Nn5Aqlc1C/i6AV1UUqiYgv576BL+3ebnw907hc/ATZtuFdHXAv5NxgrVGeV5XA+TpwPEiMg1YGrjJOfcdfr/QVHwhfb0a8Q3Az2ZPxjfah4XwJ4CekuGkC69N3yi+CHi50OJ4OfGbIvJ4/KKIvIKf5dlBRGaJyM7ho5vxsoAxoo6eCGwHDKvGb6hXnHNvAZfiG+VJ+FWQLK4ELheRiRTM8DjnxuO1/nep4AFkP4tSGUZuxm8sfhZ6An7/yAL41SLBrzBNCeFt8c4WIlvh9ys0KsLs8+N42cfT+LR/X8Kl5+E7NaPJnwiojNvxcqQJ4mf0byF7hu5ZlGylBmV9XWCqiEzHr+L0y0XduN+BEnD4fbJdQlk7lNLzH+fcXOB/qhNM6JRcDfQN+dsJv8o+PLwzb+Ir+dvCJacAR4d3dAjei3ucRW3q+VuMyiblCvkOP0N9eZiQg9I6OXlUY7LoW6C16gjoBvhxcvVdL7zMOz6rxjBQy6JoGa+qjXDODcWX08fxksVewMDw3TfJTRwMBm6WbCddqb6H5NBlFl6ePVlE4spKL3w9Mwk/KXtAzNsw8bcT8F8dceggr0XlKzn1QVZ/5xe88mZoyPc/8XXsEsCToS4YRW5g8yBwmnjHQe3xA+q/h++9CqxIiXWV806zBuD3+Y8mV34LKbWPtC4wNjybl4GrlErkyvA8W4X6boCKv1zt9Dj8gL+NeOdTfUI6ijEcOEJyR0OuLOFYvUqYDrQVkU3DNUuEQZFeEOiAV6pMx9dhn4XJ5EMIkt4iAw2A30N5BXgB6CW5o/6WEXXsaCUUTmhkTmo759ZwzrVzzrXD96/+5px7VPyRjdFRXBv883lbxV9lHeac+xovuZ0qIoOAR/D9nUn4AdvpzrnPKwmfDPwh3qnUSZk3yTEXP4Caih9kxj5gsf7SIPEOwaaS20v+En5A9aZ4R2EX4xVLk8UrnC7O+I2F7frWwCTxMuNH8Pk5G0BEhuDfs46h/B8Zrjka+Ed4Zy7D7x+PlKVdr0Yf/z/AMuH3noCfACikO/43TsQPVP8ZFBt9gSGhHhqDnxzQLAjcF+qkicC/wlivVF7H+zuYhlcnPpLxHT1m+BS/z3hkSFNnclu07gTWDM//QeCwWvelXC03ihf+o5Zu4Mucln8CO9ZBvCugjrtprv/wcpsZFBwbUcs42+JlGzW9fiPg3obOm0rSt3j4vxW+47ZxA6dn47rKL3yHtUND53kN074sXm5X23h6ApfUQfoWwc/gNsgxDTVMc17dT75juvQZsEWoVybinazMDOF9yXeo0p2ck67V8E5SuuIlibfgJ6DeUt/Juz4jfXfo9gDf+f0Kv2oyC9hZPdMp+A7WCPzeZfArLEPxe/XGxfDw2fVkOKNq4OdRljJehnSMIjhvKXO8PYGLG/i3NZr+Tg3TX1d9pBq301l5SvWddPUL35+C79i3r+pZ4aXcr4X3/jX8ZEExJ11rkxsADiTneOiwkMaJoX5ZI4QPxA8CopOu3vhJpsl4SfPmhb8hI33dgPvU3/OA/5E7tinLgdJgcnXwlqpemwIcqb63An4/aIOXSZWmBju2i7pr1+eLsUOJedGdEo5xxLf3r1HJkahVXF/jvlT0pFg2xO9jfdJ5+VyDIt6RRFfn3ONVfrl68W4K/O6y95c0C8RLgy4FTnZ+JaGcce8PPOOqJ82O1+4EvOtqflRInSJ+f2knfMN6t3Pu8gZOEiJyREhLdZw2VBXnwvhVnnvKFWd9ISIr4Qc+1znnritDfEc5526v+pvVinNtvKOeEeWMd35GvLzsJOdc1tFOtYl3EfyK1tYudxxIg1LuMl7LtHTFOymaXOZ498NPtlbXEWE509CORtLfqQl12Edq1O10U0VERgG7l7vMh9XcH1xOit7giMgc51x15Lrlvn9dtOvNfuxQKkERdqpzrsqtiEHpOM0591EN7lPjvlTZB8iGYRiG0Ripo8kim8wwDKPOqcPJpsPxK/6NYoLPMBoDNkA2DMMwDMMwDMMwDKp5zFObNm1cu3bt6igpzZeZM2cye/bsCv72q4vlf80oV/6DPYOaYu9Aw2LvQMNj70DDYu9Aw2PvQMNi+d/wjB8/frZzbrmqv1k59gxqRnXegWoNkNu1a8cbbzS0w8imR5cuXcoSj+V/zShX/oM9g5pi70DDYu9Aw2PvQMNi70DDY+9Aw2L53/CIP0u71tgzqBnVeQeqNUCuS6ZP98fqjRw5MoV98803tY63VatWyd5vv9xxgCuuuGKt4zYMwzAMwzCaLz/8kPMn+vLLuROmPvvss0qva9GiRbJ1/3PxxRvM95RhGCVSV+cgG4ZhGIZhGIZhGEaTwgbIhmEYhmEYhmEYhkE9Sax//fXXZB933HHJfvrpp5P9+eef13k6Tj/99GSPHz8+2Z06darzexuGYRiGYRhNi3333TfZzz//fI3i0NLswYMH1zZJhmHUMbaCbBiGYRiGYRiGYRjU0wryzJkzk33XXXcl+y9/+UuyDzjgAAC6d++ewlZbbbWS73HCCSck+7bbbkt2x44dM9Nx+eWXJ/vee+8t+T5Nhej0DPLzpk+fPsneaqutkt2hQwcARMpyCoZhGIZhGEaTZMyYMcnWq8Y9e/ZM9qqrrprsbbfdFoCNNtoohemV4osuuijZzrlk33333eVJsGEYZcVWkA3DMAzDznNxvAAAIABJREFUMAzDMAwDGyAbhmEYhmEYhmEYBtDA5yAfeeSRydZOEKrDu+++C8Ctt96awk488cRkz5gxI9n67LmHH3442VGS3bJlyxqloTHSr1+/ZGt5UDEHE0svvTQAO+20UwrTz2S33XZL9mKLLVa2dBqGYRiGYTQmzjnnnGS3bds22Y8++miytVT68ccfB/K38i2zzDLJPuOMM5I9cODAZOttb7vsskstU20YRrmwFWTDMAzDMAzDMAzDwAbIhmEYhmEYhmEYhgE0sMS6HDzyyCMAzJs3L4VpaYyWuPznP/9Jdq9evZL9wQcfALDuuuvWWTrrg7lz5yZbn7l36qmnJvvYY49NtvbS+NprrwHwxBNPpDAtQ9fycy0D6tu3LwC77757CltwwQVrlH7DqCmffvopAGeeeWYKGzVqVFnvscYaayS7a9euyf7zzz8BmDNnTgr7/fffk/3TTz8le7nllkv2ueeem2xdTxnG/EiUqw4dOjSF6XalVatW9Z4mY/4j9oteeumlFHbZZZcl++yzz8687pdffqkQFtsGgEsvvTTZUY4N+W1Wjx49AFhgAVu7MoyGxt5CwzAMwzAMwzAMw8AGyIZhGIZhGIZhGIYB1JPEuphcRMtPqkLLFJ977rlkR4n1IossksJOOumkZH/33XfJ1h6tNV988QXQ9CXWr7/+erK13GfXXXdNdvv27TPtgw8+GIDrrrsuhb3xxhvJ1vL0hx56KNl77703ANtuu20Ke/HFF5NtUiGjrpg1a1ayu3TpAuTLnPfbb79kL7zwwplx/Pbbb8m+5557gOL1UtyKAfDqq68mO24/0HWQloO2aNEi2R999FGy9RaGu+66C8j3Im8Y8xPffPMNkGuLIN/D7913313vaTLmP4YNGwYU71Pq01BivQ3Qv39/IF+CfcEFFyRbbz0bMGBAsnv37p3scePGAbD55pvXOP2GYZQHG70YhmEYhmEYhmEYBjZANgzDMAzDMAzDMAygniTWxTy0RklVMaLkEfIlLlVdp+XA66+/frK1hPq0005Ldrdu3SqNr6kQPVEDLLRQ7tFuttlmJcchIsnedNNNM23t0fHmm28G4Pjjj09hWj500UUXlXzvpoaW8957770AHH300SlMPwOj/GiP63GbxFtvvZXCOnXqVK344vYC7YF60UUXTbb25F5Tpk6dmuxDDjkk2dF7aZTpAVx11VXJNs/wRnNn2WWXBeCSSy5JYWeccUaytUdrvX3CMMrJ6NGjgfw+j677TzzxxEw7cuihh1Z5j5133jnZehta9Jw9v0msJ06cmOyZM2cC8P3336cwbes2WW9liuGtW7dOYVoOr7+7yiqrJNtOkKjIDz/8AMCvv/6awvQJHDVF93+mTZtW8nVrrbVWsjfaaKNap6NUbAXZMAzDMAzDMAzDMLABsmEYhmEYhmEYhmEA9SSxXnrppXM3VLLTr776qtLrhgwZkmwtlXjssceSvcEGGwAwd+7cFKa9D0bZ1vzA2LFjk63lpYsttlhZ76MlQZtsskmFz6sj6W7KDB48ONlRanXhhRemMC3pX3vttZO99dZbJztKawFWXHHFukhmHs65ZA8aNCjZMa1avlRdOnbsCMCqq65a4ziqwx9//FEhrLpl/b///W+y11hjDaBuJTx6y4d+X88991wg/5loWdkdd9yRbL0NwjCaG6eeemqyhw8fnux+/folu5jE+tlnnwXy26X5qQ9QE3Tfqdx9haaCPs0gblXT2/rKjZYBd+7cOdmvvPIKAGeddVad3bux8O9//zvZDbllYskll0x2u3bt8v6HXL+g0Nbf0ZL4FVZYofyJLCO6rO+www7JnjRpUrJ//PHHCtcttdRSye7QoUOydd829gHXWWedFFbsBJzqoMd077//frJXWmmlGsVXKraCbBiGYRiGYRiGYRg0wDnIbdq0SfaXX35Z6XV61kCvrukVuIiekZtf0U669thjj3q55+TJkyuE1ecm+oYky7lD9+7dk63Lt3Yoddttt2XGF2eNtRO0chNnqCHfAU45iOqQoUOHprB4TnZd0KtXr2SfcsopANxyyy0prJR8vP/++5MdnfXVV/nVZzNfeeWVQP6MqF7B0KvGt99+e2a4YTQHdH9Brz688847ydbOY7SjpFi36vNp+/btWxfJrDN+/vlnAF544YUUNn369GR//PHHyf7kk0+SHc+F1+e1a5VesfPds9DPQK8QaXWQXk3TdXE8y70p1U16Ff2XX34B6k8J1b59+2Q/+eSTQL46qrk6aDz55JOTrR3l3nrrrUB+n36JJZZItnaiqR2lxvdGr35GZ1OQ/4w/+uijZEenYNrWYWPGjEl2MdWrduIW6yB9nntj4o033kj2qFGjkq2dy0UFTosWLVLYu+++m+wZM2YkO57dDbkV4nnz5qUwvUKv+2T7779/srPqiq+//jrZXbt2rXAPqFuVB9gKsmEYhmEYhmEYhmEANkA2DMMwDMMwDMMwDKCeJNYafZZWVU66tGwhyl6MikS5yOeff57CtCShLpkyZQr8P3vnHSZVkXbx837mnEWCyqqYEZBgQBRZA+YcETFh+FbMAdOaFQXzmlExYloWURQwrKi4AoJIUFHEhPCp6Bow7ar1/XGrak7P3DvTPdM93QPn9zw8nKm+fW/1DXUrnHoLudb5li1bNsqxy02aLeTqq6+Omi1ozDvvvBP1888/H3VY95sDZV100UUNzifDwROYECSqUEs02/ZeeeUVAFWB80oNT7vYb7/9AOQGs7r44ouj5ukaDFs4KwFeB5ntYfxb1llnndT0hQku7+fOnRt1mqUUAObNmwcA+Omnn2Ia2+9Ysz2XA6GFYwarXvXPObgJXxu2Qz700EMAci2DIvecc7nJ0wzS4MAwPP1g2223jZrXUB0wYAAAoE+fPvXPbAnh+2n48OGpOrwT2BJaDNguybZdvjYhiCOX6/wssu2bAz7ytKEQaJCDrVU6aWvch/WQAeCkk04q2bF5alwoe7755puYVoz1ZysRnoJ27LHHRp1VR0mDAwA3BvwemTVrVtT/+7//G/UFF1wAADj88MNjGk9ZaCz4/cg25xkzZqRuH8pOAGjevHm9jvnII48AAHr16hXTHn/88ah5/e+6YBs8r2HN+QxBGYHc8927d++8j1MbGkEWQgghhBBCCCGgBrIQQgghhBBCCAGgzBbrL774otZt2fbCNiCRS5pN9NFHH42arSy8PmSnTp2iTovInA9h7bRS2mr52rOFduzYsVGHiIdXXnllTCu1NSntnsyy8jK8RjXbifr37w8A2GOPPYqQu8JYd911AaSva50vnTt3LlZ2CiZYnDjCIT8XbL9pKvz1r3+Nmq3FfI8HazkAbLHFFo2TMYLtyKNGjQKQG32yLks0kGulCunz58+vV37Yysa2Ml7flW29bNEL6csvv3xMa9WqVer3OMLq0KFDow52sqZqsQ5lGkdK5mvF15Cn9ITpUjzV5pZbbomao8LyeezSpUvUN954I4DcMoinYfFao3zfjRgxIuo999wz/Yc1Mv/+97+jPuWUU6JmuyFb9tnSGO5V/pwj97JFndcjDdH3Q1kOVK0sAOQ+U/zuCpGTq28T4HoaXwOO7stcccUVAHLXrWZ7dyWS9t7mFQ54vdijjz66wcdjey4/aws7fN+x5ijVlQy/G3j9aq5fhKj6HE271KvscHkY6pFc/vJ0iKy6OpdZ9bVYsxU6wFPCCmHIkCFR83QT1ryyAa9WEMrCzTffvF7HDmgEWQghhBBCCCGEgBrIQgghhBBCCCEEgDJYrJs1axZ1iICchaJY5wdbEQJsfwsRioHc6JRM69atAeTaZLPs2FtuuWXUU6dOBVD8qKEc2fGggw6Kmi1+HOH022+/BZAb3ZQtF6WALXCBuqKyVueTTz6JOtzjbJsT+bH99tsDyLUP3XDDDVEfeuihUdcVUfK5556Lunv37lFzdPHGJkSGBYBnn3026r59+0b9+uuvA8iNUFtqHnzwwahPOOGEGp+ztZJtWxzpnqcZ9OjRA0CutZmjlbN9lPcXtk+LRltq2IL6wgsvNOqx2aZ43XXXAciNsM3vTbbh8ffCNBmgKsIpW3rzIZz3fN7T4RoDwMyZM6MOZXeIBA7kRj3lCPunn3561G3atCkor6Vk+vTpAIDdd989pmVZaO+9996ouS4UrJFnnHFGTGOLJkftHjlyZNR8LosJX9MsWzUTInV/8MEHMY2nFVUi/E4I9zLXL0J0XqA4Futhw4ZFzZZ5tsIujLDtmGkqFuss0q5bY76H77jjjqhvvvlmALnlB5epWe2uDz/8MOr6Pq/87gnwVKdCYMt3FsFKDeS+h0PZev3119fr2AGNIAshhBBCCCGEEFADWQghhBBCCCGEAFDmKNYcoTINjiwoi3Uuv//+e9SzZ88GABx88MExjaP5ctQ3tmdNnjw56jfffDPnfyA3CnCWNTvYg1566aWYxjZotkrWBdvCOTpvltXpyCOPjPq4444DUHyrd22kWawLjdaZZknh31tsOKppPulNDY78zNb82267LeqTTz459bsLFiwAAOy///4xjSO8ciTTxoZtSrfeemvU++yzT9R33nkngKqI3o0BP4NXXXUVgNxpNDxVgq2ECxN8Xzz11FMAgLlz58a0Fi1alOzYbHG/4IILAOTaFdnmxxG7+XnfZJNNog7lLk/zYDt8lk0+TD9gGzdHROZoohxtnd9T4dh8T/HnF110UWo+yg3bK48//vgaaTzFKUR4BnKnA/Gz8dtvvwEA3n333Zj29NNPFzHHuVOB+D0W0vl6XXvttVHvtNNOeR+D81/pFmsmWKzXXnvtmDZhwoSouS5U13SdLLhutcEGG0TNtvSmAt/rL774IoDcujtP20ur7wD1t+FWCuGZZRrTYp12H3I9YPTo0VHzqjYMW7LD+4GnuORzr6fZoutbn81nygiXi1z3Du0ELrvqU8fVCLIQQgghhBBCCIEKGkEOvXLcS8Fr83LPBPfWLCwjX4XCa42Gka+s3l1eA3S77bZL1WmE/QLA8OHDow4jRUBVjydP/OcRAg7qsdFGG9V6PO7x+umnn6Lm9Y4vueSSqHlNuhDEqDFHqdIC2RQapGvNNdeskRZGAoGqoDlAbk8c6zAyxCNVWeu/8TPF13THHXcsJNsVy4EHHhg1B/U5//zzo957772j5jX6wv0UAr4B+a1r3dhw/vm6heAcJ510Ukwr9fPAQbHC6P2xxx4b055//vmod9lllwYfj0dvuFwI5RCXWYUGmgpw2cP72GqrraLmwEsTJ06ssQ921BxxxBH1ykc+8Lq04Vqfc845MY1HLxsDDmTHI3C8PjK/93nkKKxx/6c//SmmcTCub775Juq77747an7mywG7TML7jtfQ3WabbaIeNGhQ1OxwOe2006LebLPNANR/1JjrULw+K7uy2K3Fefroo48A5K5b/eijj9YrH2FfTY1Q5vM9y884r71a35Fxri9xPSyUY405+thQ+F7v3bt3jc+5TrTeeuul7oPL8muuuQZAbp2fXUm8vvZhhx1Wjxzncv/990cdAntyHYDrrXvttVfUXF9lR2egMa8hr/8eyhLOK7s5suB3WggyyAEQ2XnHAXD5eQij0Fzv4HKgkHWJOYBtFtwWZB2cTFz/2G233fI+dkAjyEIIIYQQQgghBNRAFkIIIYQQQgghAJTBYs2WUrbLBfsU21rWX3/9qDmQBA+98zaLEhwAJZBm120IbGFmmyDrYGvgYDy85ixbP9huzdc5WDBCgBsAuPzyy6Nm2x7bvdhuXcrAVlkUYx1kvmbBLvnqq6/GNLbvFQLbSXjNRbbEcoCnhREOZsVWuBNPPDFqXlM4UIm26ixCUCCgym42bty4mFbXNIpiEoIrBYsckGvx3XnnnaOur/Wb7XV/+9vf6rWPYsM24bAON1v3Swlb1oKFNljtgVyLMk+1aWy4nEt7dwHpNsCzzjorai772Z4crNkAcMwxxzQon/UhzQrYs2fPqHlay4gRI6I+5JBDouZpCQ2F61W8/ilrhp/F8B5lO/vgwYPrlY9yrEleDILF//PPP0/9PO293xB4/dmwJjzfM5VOWt0rrMkOVK2LDeQGieVAgLfffnvUnTp1ApA7JYcDyvK0AQ4KWN9nn6c3hGkhHHhx6tSpUffr1y/qMWPGRN2lS5ca+23M6Z/cDgqBatk6ng+//vpr1HfddRcAYOjQoTGN3738XucgbaHs4ToUT7ns2LFj1K1bt46a35drrbUWgOJMD8t6hvNFI8hCCCGEEEIIIQTUQBZCCCGEEEIIIQCU2WLNhLW52HqbFfWY14pbVC3WaWtIc4TwxiLYSNiSxeuRhTWaAaBr165Rs007WOvYnty3b9+o2WbMdg622pSDNMsiRxfPx/LOkQ7Zgh7g38uRFTnCY9Bsqbnlllui5oikwcK1KMBRvdn2yxbrSy+9NOqLL764cTJWRNi2HJg+fXrUjWmxDmUBn1OOMspTL3jaBEeNDnY8tuWxhZWj79YFl0N8L3B0ZbZ5hXS2N7IFn38X28ZWWmmlvPNUSoLtbcstt4xpbF1ku3Kp4DJqzpw5UfP7YdasWVHz+zu8KziKNduQeToB26o5knc5CFGnmbPPPjtqjirPdlouwzkyfYiWzpG6uQwvNlnvmIbC62s3JYK1l1frYIoxlY3POdeRLrvssgbvu7FJu858jnh9XSasPALkRmwPaynz1BU+X8suu2zUvE56qA8Wau1nO3Aoe7h8YfiZ5PIobVpWfdfIbighEjdbwOfNmxc1W+KznvcQ/ZlXY+B6xR133BH1pEmTog5TLfn9zmUh29W5HffCCy/UyFNYnQXItdIXQkOvgUaQhRBCCCGEEEIIqIEshBBCCCGEEEIAKIPFmi3UTLBYc7RZjnLHvP/++1FztMhFiUqxWAd4Afgdd9wxarZ5sKXiiiuuiDpEhezQoUNM498SLDdAriVygw02aGCuG0aafbV3795R33vvvVG3bNmyXsfgSH5sOWH9xRdfAMhdsD1EAgQW3WkIDNuhpkyZEjVHQg820GBRAspnk8oXtjIFfvnllzLkpIqDDz44arb9T5gwIWq2pPFUhWCrY4seRwhlezTrVq1aAci15/IzwFMZCqExbMnFIpSfe+21V0zj1QDatWsXdSgzgFwbeYgWy5b0zz77LOoFCxbUqeuCLenbbLNN1Oeeey6A3DKU729+D3DZy3WGcsDvu2Bz5ykd/B5guGzhyMihfOLIrsW2WHM9rK6I6/zssEX8hx9+iJpXvOjVqxeA3EjATYkePXoAyLY717eexTbhsPpHdco9baw+cJ0s2Jv53GVFU+b6Ck+nZGt1gM8dW6i5fhnKihVWWCGmNW/ePGq+bqw5enOIMs9Tefg9wvtj+FkIU404z8WIyJwvoW7Iq3jsv//+UXPZyXb1xx9/POonnngCQO6KKt26dYs6awWJMH3tzjvvjGlsS3/99dej5jYD8+OPPwLItXfzFBSGryOXU8GmfcABB6R+L18qu/YnhBBCCCGEEEI0EmogCyGEEEIIIYQQKIPFulmzZqnpaZZhtmKx5Y6tuosqaecry77eGGy++eZRs6Xstddei5otGhwlMFhq2rRpk7pvttbtvvvuDc9skWjfvn3UDz74IIDcCMlsIQm2MyA3qh9HgAy2ELbThQjfADBt2rSo+bwGzZaeQYMGRc3RfBdV2OLEkX1XW221qK+88koAueef7UHFiF5abDgCauD3338vQ06qYOvoc889V8acLJoMHjw4arbThei8tRFsinyvc7nN9kW2xod3Ndsj+dnafvvto2bLYiFwVGEuCzkyan33XSyCpZ2t+SEiLAAMHTo06mHDhkU9atSoGvvic8nTicJ0AgBYd911ow5WV05j+zSn87up0qeRNDbB9s/vTbZvFvI+ZfvuscceGzVbrPfbb7+om+J0KD43J5xwAoBcK20WvKJGXdZyvkdnzpwZ9ejRo6MOdWKePsJ6/vz5UXOE/bQI1Lxiwemnnx51mEJRHc5HgCNs8woOjcW+++4bddu2baPmVQSyLOOBfv36Rb3bbrul7o/r/tdddx0A4KmnnoppHK2/c+fOUYdo/UDu+ybYpvNZsYJXjfnjjz+iDlPnGrrChEpGIYQQQgghhBACaiALIYQQQgghhBAAymCxzooAyFaINDiiNVuqQvTHJZdcst55ChG0Z8yYEdM4MmUlkvZ72cbG0UG33XbbqLfeeuuoOXJgfaPsffTRRwCAv/zlLzGNI1qyZnhx8YsvvhhA7gLmbBNlqwXnuZI44ogjAOTeNzfeeGPUHNXvvvvuq9cxOHojR/wO1kOOVJgVAV7kwtHUgwWRLVVsH7r++uujZstUiFrZWLBFim2zIf+HHXZYo+ZHVBZsV+OpGBwVlCM/s8UwWG8ba1oGTxUKZRrb8zp27Bg125Z5qg1PMyi3xTrA1r4DDzwwVbPlk893Q22BomGEuhVPB+T6Kduj08r+sBoCkGuf5meR6wannnpqA3NcOfDvKhVcvnHE+/rC1zNYc6+99tqYdscdd6R+b88994yaVw4IU0t23XXXBuetIXCdnqf1HXnkkVH//PPPUXPU6/DdIUOGxLSbbrop9Xt1sfPOO0fN00B5dQQuw8Ozxu0Bvs5Z76Yddtghav6NDUEjyEIIIYQQQgghBMowgsy9o9xzzb2paXBAJF6Da9VVVwUAdO/ePabls+YsB/oaO3YsgNxJ3k8++WTUDV1LqxRwD0lYgy38DgB4+umno+ZAQ0w4d0DVKDNPnO/atWvUPLmeR4VD8IT//ve/MW3ixIlRf/LJJ6nH5p7GoE855ZSYxr1VPHIa1kirVPjeGzhwYNQXXHBB1HxvcZCBEJSF1yDdbLPNouY1Xuu7rqvIpm/fvgByXQBHHXVU1NyL2b9//6hD8JXjjjsupvEavfWFXRaPPvpo1A888EDUfB+88MILAHLvH7Fow6Mt5QgUUxc8Avf5558DyA3wwyPIXBbyyBy7PJoS5QyqKeqGAxhxUKdDDjkkaq4zhvuXg0ixE46Dsu2zzz7FzayoN1wGBUcZBw3j8ojrwbyufKUTHI5Abj2S6/tpI7MnnXRS1Hyv84gvB0wM66TzMXg9dB4VbgpoBFkIIYQQQgghhIAayEIIIYQQQgghBIAyWKx54jgH7AqBsrII62sBuRPiw/pjHIDknXfeqTMfbG8KaxfyGmdsk6lE2A5x2mmn5fxfnRBICwDGjRsX9RtvvBF1sJHw+m9ZwSh47d4QGIjXaeRgYWwnfu+996J+4oknor766qsB5AZD6NOnT9S8Xt6YMWOi5rxWOmwtYSuuqDz4Xn7llVeiDhZmIPdeDUHSOOBXjx49oua1Y8N0CAD47rvvaqSHtbCB3OB0PM2Ay79QdlXPtxBNgVVWWSXqUB/49NNPU7flNX3ZripEKeB1vLkO8uyzz0btnIs6BEzktcd5KhxPExSVDQcxZN1U4XYX35+FwGtRc11jYa53aARZCCGEEEIIIYSAGshCCCGEEEIIIQSAMlisGbY583qIafC6v7z2J+uGwjbuuqJqNyU4ohxrjmwX4CjRHI2aI/lxdN25c+cCAN56662YNm/evKg5yi5HId17772jDhHIOSogr2nWs2fPqNmyzfngaKdCFAu2FWWVO+EZuOeee2LaiBEjombbNFvtW7VqFXWwYbMdm9cv5+cla21xIZoyjz/+OICqaTtClBOua3A95uCDD46apwZymS+EaPpoBFkIIYQQQgghhIAayEIIIYQQQgghBIAyW6ybNWsWdV1RrEtJiETYunXrmPbyyy+XJzNlZrnllos6WJ+r62Kz4oorAsiNsH3GGWdE/dhjj6V+j6NBs8VbiMakRYsWAICLLrooprEWQtRNKd8xQhQK14WYOXPmRM3TZIQQCxcaQRZCCCGEEEIIIaAGshBCCCGEEEIIAaDMFus11lgj6vHjxwPItTbPmjUr6h9++CHqBQsW1NAcKZa3zfoeb//hhx/W2JYX1uaI1hx5WxSXYFUFgEcffTRqtlvfcMMNUW+44YaNkzEhhBBCLPJsvfXWUfPKBdOnTwcAbL755o2eJyFE8dEIshBCCCGEEEIIATWQhRBCCCGEEEIIAGW2WHMEwIceeggAsOOOO9b5vcUXr8r28ssvDwBYeeWVY9oKK6xQ4/Pq6W3atIl65513BgC0bds2pnXu3Dlq2arLS5cuXaIeOnRoGXMihBBCiEWVq666Kurhw4dH3b9/fwDAM8880+h5EkIUH40gCyGEEEIIIYQQKPMI8kknnRT1aqutBgBo3759TGvXrl3UPPq79NJLN0LuhBBCCCGESGC34siRI6P+5ptvypEdIUSJ0AiyEEIIIYQQQggBNZCFEEIIIYQQQggAZbZYr7POOlGfddZZZcyJEEIIIYQQ+dGhQ4dyZ0EIUSI0giyEEEIIIYQQQkANZCGEEEIIIYQQAgBgzrn8Nzb7CsAnpcvOQsu6zrk1GroTnf96U5TzD+gaNAA9A+VFz0D50TNQXvQMlB89A+VF57/86BqUl7zPf0ENZCGEEEIIIYQQYmFFFmshhBBCCCGEEAJqIAshhBBCCCGEEAAKaCCb2cpm9r95brugvhkys4/NbPX6fr+ex3zSzNbzepSZvW1mM8zsDjNbzKevambPm9kH/v9VfHp3M/vOzKb4f3/16Uua2StmVtaltIQQpSGrrLKEl8xsRTNb28z+aWbv+DLlVNpuoJm9Z2ZTzewfZrayT1/CzO43s2lm9q6ZnefTK6JMMbPWZja9CPs5ysz+Vow81XGc7mb2TMZnHczsHq83NrN/mdmvZnZWte1W9u+J9/w12canH+Sv6x9m1om2b2tmQ0r4s2Bmp/i8PFzfc1nHuXk5/CYzezbcn7Xs62U+B5Te3sx2r+V7+V6De83sy+r3nt//G/79+6aZdfHpe5rZZbUSWgWWAAAgAElEQVTlWQghhEijkBHklQHk1UBuSpjZZgAWc87N9kkHO+faAdgcwBoADvLp/QG86JxrA+BF/3fgVedce//vMgBwzv3Hb3dIifNfcGWVK1Nmdkn1ikh999tQuKOC0kakVIj6+YrqDDO71qeVvEJaTErVEWRmzUOF18x2NrNJvqE1ycx60HYvm9lM6thZ06eva2Yv+kbby2bWyqevYWajip3fhZTdAbztnPsewG8AznTObQpgawB/MbNN/XbPA9jcObcFgPcBnOfTDwKwlHOuLYCOAE4ws9aNVaY0dcx3aubJ+QBu9vobAKcAGJSy3U0ARjnnNgbQDsC7Pn06gP0BvMIbO+emAWhlZusUkJdC+V8AOzvnepXwGAAA59zuzrlv6/n19kieiSzyvQZDAPRMSb8WwKXOufYA/ur/BoCRAPYys2XrkedaKdX70cxeL/Y+8zxu7NTzf2d1RlxiZp/Te2N3n97azH6m9DvoOy+YH1BYGMh6d/M5tNo7RlMHW+jzzmb2m5kd6P9uku/e+nbaZewr65zXezCulmPlex2znoXV/HcWVP/9C9uzUB3L6CRN2Y7rqakDAv6znr6eOsvM+lP6o2bWpjS/oopCGsgDAKzvb4SBAGBmZ5vZRF+ZvjTtS2nb+ML0PUt6vt+1pGHEL7F+ZjbZn7CN/XdWNbPhfj9vmNkWPv0SX5i/bGazzewUOvYRZjbB5/nOjIpTLwBPhT98pRYAFgewJIAQxWwfAPd7fT+AffM4Z8P9/gXhC6D/qZZWvaMCZrY/gAXVttsRybVo55zbDL4i1UgV0qbAGQDu9no+gL18Q6sPgAerbduLOna+9GmDADzgG22XAbgaAJxzXwGYZ2ZdS/4LikhtZY2Z/dnM3vLlzL1mtpRP/9jMLk0pg1YzszH+RTkYgGUcNpYpzrl5zrnJXv+ApGHV0v89xjn3m//OGwBaee0ALGfJSPEyAP4DIJRLFVWmmNl6/hx2NrPFLBkVD+X9CX6bB8xsX/rOw2a2j/9zbV92f2BmF9M2Z5jZdP/vNEofbklnzwwzO57SF5jZdWb2NoBt/Iv1PTObjKQBm5b3FQBs4Zx7GwCcc1865yYC+G+17VYCsD2Ae/x2/wmNRefcu865mRmn52kAh+Z1IgvEkgbIegCeM7PTq322l5mN99flBTNr5tN3sKrK3Fv+9wPA8lY1Ov6wmdW4r40qqGZ2ka+0vGZmQy23g/Ug/85938y6mdmSSMqRQ/xxD6m237yugf/sFSQN6BofAVjR65UAzPXbOwAvA9gz+0yWB6vmAgl/O+e2LU+Ocjr1gOzOCAC4gd4bz1L6h5R+IqU/iIVwcCWFfDtGMwdbfB31GgBjQlpTffc2YfK9jkD6s/ALgIsA1Bh4wqLzLNQF11NTBwT8s3ArgN0AbArgMDr3twM4p9SZLKSB3B9VBeDZZrYLgDYAuiDpIe5oZtvzF+rYZiMAtznnNkFS+eObZr5zbkskJyHcZJcCeMtX3M8H8ABtvzGAXf1xLrakR2ITJCMtXX3P8u9Ir1h2BTCpWr5HA/gSwA8AnvTJzZxz87z+PwDN6CvbWGLLfs439ALTAXROOWaxWTyjAcCVmk5m9nJtOzGzjv53vA3gL5S+tJnd5xsLb/lGKsxsMFW4vgoVXMvuFJlpZg8gOS9rVzt8TkeFmS2P5CG6otp2JwEY4Jz7FUgqVPRZySqk9cXMljOzkf68Tq9WQSykI2g5SxpxE/w12Cf1gMABAEYBgHPuLefcXJ8+A8Ay5huBtbApgJe8/ieSzohARTXOCqBGWWNmSyOpBB7iC+bFkdxbgbQy6GIAr/mOmX8AyOqMqVGmAMkzAKADgPEp3zkGwHNePwngRwDzAHwKYJBzLjQMGqtMqRMz2wjA3wEc5Rs1xwL4zjnXGUke+5rZn5A0LI/y31kJwLZIRveApMw+AMAWSBpXncysI4CjAWyFpFLS18w6+O2Pcc51BNAJwClmtppPXw7AeO/+eRPJy3cvJC/ctTJ+Qick57Mu/gTgKwD3+WdvsJktl8f33gTQLY/tCsY3QOYC2NE5d0O1j18DsLVzrgOAR1FVkTgLwF/8+7AbgJ99egcApyF59tdDcv+mYmadkVyvdkgqLtVHCxZ3znXx+7vYux7+CuAxX3d4rNr2+V6D2jgNwEAz+wxJB9959FnJrgGAxczsbt9ZM8bMlgFqWNNXN7OPvT7KEkfUSwBetMTe/qqZjQDwjt8mdgib2bn+3fC2mQ3waX39u/VtM/s7veuHmNnNZva6JQMFB9J+6hzIQM2BgqzOiPowAsBhRdpX0bCUTjh/rk7x+gZ/rWBmPczs4Tp2mVfHKGofbOmHpEzleg1QIe/erPqMJR2kr/v0CVbV+dbCkmmLH5h3+/ntD/P39nQzu6au9DrydIN/Bl80szV8WtYzuJlVDZpNtfRRyHyvYyrOuR+dc68haShXp+zPgpkd6X/722b2oE9rbcmo+VR/Htfx6UOqlSW1lk+enE7SjGzEeiqyBwS6AJjlnJvt3yOPoqo++iqAnazE080aEqRrF//vLQCTkTRSq99stW3zmXNunNcPAdiOvjfM/z8JQGuvt4MfAXPOvQRgNfN2IAAjnXO/OufmIylYmgH4M5LK0UQzm+L/zrHvepojqfxEnHO7+vSlAPSo/gXfMx1GlicjWVerHYBbkBRkYbvfAfyHCotSUVtnQyHcB6Cf/y3MX5D87LZIHu77zWxp59xxvrK1D5LRyiFWe6dIG5/PzZxz1ddvq96ouBzAdQB+qrbdhgC6WTJCMtZX2AKlrAzVl54A5jrn2jnnNkdVoQAU1hF0AYCXfOVzRyQVwpxKum+M/Dt0HlTjAACTq312n39RXGQWR43eRtWI234AVqBGSCWe33xIK2s2AvCRc+59n34/klHCQFoZtL3/PpxzIwH8O+N4q/qXacSSDp+/AziNRmnCZxcg6akOFbAuSDr0WiBpnJ1pfupBI5YpdbEGkkpErzD6h6SsP9KXt+MBrAagjXNuLIA2vvJyGIC/08j58865r51zPyM559v5f//wFY0FPj3cd6dY0oH3BpJOtvA++R3J+QWS98xHzrkPfFn9UMZvqFH2Z7A4gC0B3O4bnT8id4pNFl8iuYaNTSsAo81sGoCzAYRO23EArvcNgJXpGkxwzs1xzv0BYAqq7vc0ugJ4yjn3i7/Hn672edpzUxv5XoPaOAnA6c65tQGcDj/S7ynlNWgD4FbfYfYtkjK2LrYEcKBzbgf6+1Tn3Ia8kZnthuS9upV/H4fGxTDnXGef9i6STqlAcyTPzp5IHH91DVIwqZ16GZzsK9L3Wq5d9E+WdCCN5Yqxc+7fAJai90jZsexOuFdRVdZ0QuKuWMKnvZK2LyLfjtHUwRYza4nknXt7yr4r5d1boz5jiUvkMST3cTsAO6Gq8609koGqtkhcJGubWQsko+Q9/OedzWzfrPQ68rMcgDf9MzgWSSd2bZwI4CZfb+0EYE7KNoV0cGc9C6mU+1mwZADvQgA9/LUKlvFbANzv650Po2rKS9Z+ssonoFonacp3q9dTswYEWgL4jL46B1Xuuz8AzELSUVsyGtJANgBXk71gA+fcPQVsU30BZv47nLjfkVRO6oIr/eE7huSCh2Nv5Jy7JOW7PwNYunqic+4XJBXA0GPxhZk1BxL/PHwPn3Pue1+Jg7dYLGG5cyWWQnpPUjGprbMhLywJwLKy7zkGcu2426GqYfAeksXJN/TfWxrAE0ga1p+g9k6RT5xzb2RkIVaUzKw9gPWdc/9I2W5xAKsieamdDeBxatyVq0JaG9MA7Gxm15hZN+fcd/RZIR1BuwDo7xsfLyO5Z6uPYKZWNn2heA2AEyi5l+/w6Ob/9fbpZwHYwczeArADgM+RPFNAZZ7ffKitrMmi0DKI+c1oCoGvYP0dwMPOuWG8oZkdhaRC28s35gDgcCTzXf/rEofEOOSO1DVGmVIX3yF5mXFZY0jKgVDm/sk5F6yCDwA4Akml9F76Tt7Xxsy6I6l8beNfym+hquz+xXceFEJq2Z/CHABznHOhYvQkkoZNXSyNqopiY3ILgL/55/sEnw845wYAOA5JL/04864VpL8/60uhz02+16A2+qCqLH0CSWMwUMpr8JFzborX+XYIPO+q3CBA0jnxUcp2OwG4zzn3EwDQdza3ZNR5GpKRLnasDXfO/eGcewdVDrd8BjKAlE69DG4HsD6SBsw8JJ3Y8Hod34F0BoBHaAADqLx3R1Yn3CQknQgrIrmX/4Wk7O2GpPFcGwV1jAI1BltuBHCur/xXp1LOX1p9ZiMA81ziIgp14tD59qJz7jtfn34HwLpI3EUvO+e+8ts9jKTzOSu9Nv5A0jgH8qv7/gvA+WZ2LpKBrbSyId/rmPUs1EU5r2UPAE+4ZDCRy5VtADzi9YOo+zxmlU9A3Z2k1eupmQMCdVDy81hIA/kHADxqMRrAMf7GgZm1NB/oJ89t1jEfCRRJhfC1Oo7/KrzFxFeU5qcVOMSLAA60quBDq5rZuinbvQtgA7/N8tQIXhzAHgDe89uNQPIihv//Kb/dWqGBZkn0zP8B8LX/ezWfzxrzqYpMViXzN1Rd44ZWQrK4A0mv9gv+79o6RX6sZT9cUdoGQCdLbDGvAdjQquzhc/zxnHNuApICMnRIlKtCmolLRii3RPJiucJ8lHNPIZVJA3AAndd1nHPvVtumRmXTkiBb/wBwpHPuQ8rX5/7/H5AUjF3833Odc/v7is4FPi0E56m485snaWXNTACtzWwDn94bSQ90bbzivx96ULN6jGfCu1V82XAPgHedc9fzRmbWE4n9de/wovF8Cu9c8S6BreHLoUYsU+riP0hGO440s8N92mgAJ/kOAZjZhuRyGIKkRxm+Ah/Y2ZfNyyCxGo5DUtbva2bL+u/v59NWQtLz/JNv3G2dkbf3kFzb9f3fWZa2WPbXhnPu/wB8ZomlHEjcSO/U8pXAhmi4fbg+rISkYwuoemfBzNZ3zk1zzl0DYCKSxlKhjEMS+Gpp/17PZ35v9boDk9c1qIO5SDrzgOS5+YA+K+U1yOpYqO29W/0dWNs7MY0hAE72nR+XVts/58fo/7oGMoBqnXpZOOe+cM797htxd6PqvfGrc+5rrycB+BC+E93TJN4dvlz9CMmUkNeRlDs7IrlHq79vq5Nvx2jqYAuShvijvt5zIIDbaAS1Is5fHfWZNIrZ+ZYPtdZ9nXOPANgbybl81ihwKZHXdcx6FvKgIq5lnsTz6M/Jknl8p656bfV6ataAwOfInYrZClXvNaARzmPeDWRf+I2zZG7AQD8y8AiAf/nezCdR7SVYxzYzkUx4fxdJRTPNVsJcgqRnbyoS+1Cf2jb2lbALAYzx33keSc9FdUYC6O71cgBG+O2nICm4QjTGAUgqcx8g6T0JnvsDAUy3xPZ3M4BDaSRoR1TNtSslWZ0NHyOxmQN12L98I+hbMws9RzzfhTsnNkQycjnTzP4CYAU/MhHIp+MkjVhRcs7d7pxr4ZxrjaQn633nXHe/3XAk5zXkZUkk9m6gfBXSTLxt6Cfn3EMABqLukaesjqDRSOYsh86YDinffR/UY+ddASMB9CeHAcxscauam74EkkrudP/36vRyOA+5o30Vd37zpEZZ43u0jwbwhC+b/kDVs57FpQC2N7MZSGzon2Zsx2VKVySN7x5WLdolgL8hKQ+ft9zIr7cisfbNQNKQuc85N9V/1lhlSp04535Ecu+cbmZ7AxiMpOE42ZLot3fCvyCdc18gecbvq7abCUgqH1ORWK/fdMmcryH+s/EABjvn3kIyPWFxfx0HILFZp+XrFwDHAxhpSZCu6vP5wnbvAVjJvF3dd3bOQTICdqGZzaFRsH4AHvbvhvYArvLf2c9/Zxt/vNF0iHJdq0uQ3NeTUFU2AsBp/v09FUkQrOfSvlwbfpRoBJLr9RySivJ3tX4piWWwqaUE6SrkGpjZUCQjQBv59GAv7gsgBGi7Csm1D5TjGnyMqvfugbVsVxvPAzjaquYYr+rTV0ASsGkJ5DcnNd/3cezUq43QsPPsh6r3xhpWtSTmekhGqWf7vw1JHICP88hvY5HVCRc+OwtJh+irSGy5b1G9Lou8OkaRMdjiHTetfb3nSQD/65wLU/Yq4t2bUZ+ZCaC5+eluZraC1T43dAISl9rq/p45DEnndFZ6bfwPqp6xrLovz6FdD8Bs59zNSM77Fin7zLeDO/VZqI0KeBZeQjJHeDWfn1CuvI6q+D29UPUsfIyq87g3gCW8ziqf8iGnnorsAYGJSKZm/ckSG/+hSJ6dQOmfCedco//zJ2d6OY6dkpdlkFS0FivBvocB2LARzuV7SOwl7yKpbC7rP+uG5GZ8E0nwkpd9+lFILHhAUpk6y+uOSOagTkEyp2C6T18aScV2GhKr1o4+/SO//yn+34k+/VS/7TQkFZr167rmSBoRV9R1ryBpED+E5MGYjGQuRfjsb0iiNpf9vqI87YqkMjkFyQPfyad/DGB1rzvRtVkVSSfAVH9fbkH36Z3+nM4A8EzG8V4EsIHXFyIZoZhC/9ZE0hE0yR9jBpIlbBbz3zkQyQjM+0gaPEvRvs9CYqEt+3kt8Plo1LIGSUfc8yXad8nLlBLle1kko0orlTsv1fJ1OoDjSrDfpfzzu3i5f2MJftvydE3fBLBlhV6DZkgsnqU4B9XfS2cBuMTrjX3Z+haSIJMf+/Sj4N+7/u/u1ctxAAtI90fS4TQFwFU+7SQk790JSKz0Q3z6ECRzm9P2U+N9nPJ7LuJrAGAoEtvof5G4to716Q/6/UxFUllt7tMP8O+SKUjey3vRvjoh6fwq+71b7TefgaQeMR2JdTak/9n/7uX83+8DOIM+/xj+3Z11DpF07DtUvfunANjdf7Yakvf0BwBeQGLprb6v6tezIt69yK7PdEZS3oX4EMun3O/PAOju9WH+PpoO4BraJis965wvAHC93/4lAGvU8Qz2p/t0VMa5z/c6pj4LlN9vfP7mANi0Up4FJJ0y0/21CuXHuv78TfX35jo+vRld12tQd/n0Mt0Tq4fznpIHrqcuj2RqzAy/v7Npu92RPH8fAriA0pshmZ5S0nNl/mCNiiWT3Z9xyST/smNmuyLpIcoaEarPPpdEMpr8QJ0bC1hisfwnkqjjhc4lhCXRmccC2M5VzX9Z5DCz/QB0dM5dWIJ9vwJgH5cEmmgSlKusMbODkdiGapsGUug+m2SZYmY7IemFv8E5d2O588NYEkPhIOdc9SXQGrrfNgBaOudeLuZ+KwEzewRJxOulkcT5uLqB+yvVNegM4L+uap6wyMCPhj3gnNu5BPu+CcAI59yLxd53JVHic9jk3r1NFT0Lpaeh9VRLljb83qVPFykaZWkgC5FGQzoqFuYKaaGY2XHOucFF3ucaSDovhte5sRBCiCZFKTr1/H77OufurnvLpk+JOkb17m1k9CyUnobUU83saAAPlnowTA1kIYQQQgghhBACBUaUW3311V3r1q1LlJWFl48//hjz58+3uresHZ3/+lGs8w/oGtQXPQPlRc9A+dEzUF70DJQfPQPlRee//EyaNGm+c26Nhu5H16B+FPIMFNRAbt26Nd5888365WoRplOnTnVvlAc6//WjWOcf0DWoL3oGyouegfKjZ6C86BkoP3oGyovOf/kxs0+KsR9dg/pRyDNQ6jXJRBPmP//5T9STJ0+OeubMmVF/9VWy3vfvv1fF1erWrVvUm222WdQrrbRSSfIpRBqfffZZ1CNHVq300rNnz6grrQd2/vyqVXn+7//+L+rNN6+IeIZCCCFERfDLL79EPXv2bADArFmzaqQBwOKLVzV31l133ai32267qFdZZZWS5LOS4Gm1H3xQtWT8hAkTov7888+RLyuvvHLUfhXSvFhqqaWiXnbZZfP+HsP1t86dO9drH7WR9zrIQgghhBBCCCHEwowayEIIIYQQQgghBGSxFp7HHnsMAHD99dfHNLZc1Jdlllkm6l133TVqtkOcc845AKrs2gDQvHnzBh9bLNrcf//9UV900UWp25xxxhlRX3fddQCAOXPmxLR//OMfUS+33HJRb7jhhlFvuummAIBVV101pv33v/+Nmve3zjrrRL3YYovVyM/xxx+feuyuXbtGffPNN0e95ZZb1vxRQgghRAVz2mmnRX3TTTdFvcIKKwDIrTvyu5en/hViBc5iiSWWiHqnnXYCAFx4YdXyvNtuu22Dj9GYTJw4EQDw1FNP1UgDcuv13377beNlrMR89913Ua+44opF2adGkIUQQgghhBBCCCykI8hffvll1BzljQNNsQ4BpnjEpn///lF//PHHUS9YsCDqdu3aRX311Vc3MNeNz9y5c6M++uijAeQGL2DOOuusqPv16xf1448/DgA4++yzYxqP3PH5v/POO6MePrxqzfs77rgDQO65/eabb/L8FUKkw4HjOEAHRzEcN25cje/xvfzoo4/WeZzQ0/3111/HNC4PLr/88qiXXnrpqLfZZpuoR4wYAQAYM2ZMTOvevXvU3AM8ePDgqG+77bY68yeEEIsSHOCQRxlZ8wglBxcKQYc4jYM3pW3L6ZxWDLhexHXbF198MepJkyZFHZxQPOpaKbz22mtRsxPq4IMPjnq99dYDkPubpkyZEjUHsiwGHLQq5C+MJAPA6NGjo+YAtJXEjz/+GPWOO+4IILf+0759+6iPPPLIqNnJyTo45LKCbv3www9R//bbb3nnk7flfaTBToEll1wyar4XDjjggKgfeeSRqE888cS881QbGkEWQgghhBBCCCGgBrIQQgghhBBCCAFgIbJY83peG2+8cdR//PFH1Gyz5IA6wbby3nvvxbSBAwdGHSwfAPDzzz9HzXaRpmixfvbZZ6MOv+vhhx+OaR07doyagxJxoKEePXrU2O8aa6wRNdtoOCDAc889F/UXX3wBoCrYkRDFgJ99Doi1ySabRD127Niog9WKn+s+ffpEzVbpc889N+qnn34aQK59mvfBa4FzWRK+BwBPPvkkgFyr1MUXXxx13759o+a1H4VYFPn111+jZhsgW/HEosGwYcOi7tWrF4DKKSP53lxppZWi5rpoCEoFVAV3ZBtxob9lq622AlA1ba6SuOGGG6Jee+21ox40aFDUBx10EABg/PjxMY3XKmb7bJqNvNC1jKdPnx71LbfcAgBYa621YhrXAXiN5f/5n8oZX2Q7cqhD3H777TGtWJbjAN+z9YXbCcwrr7wCIDeo70cffRT1/vvvH/Xmm28eNU9Pk8VaCCGEEEIIIYQoImogCyGEEEIIIYQQWAgs1mFY/ZNPPolpbK286667ou7du3fUHJ02WFGmTZuWegyOjsbWSY7sHCwOTcni9a9//SvqsO7wFltsEdPYvvL++++n7iPNZsJRAbNYffXVa2iOPClEQ+FygK1uLVq0iHr27NlRN2vWDEDuetxs7WJLGFuhw76vvPLKmMbR24877rioeaoCW6zDuos8PYSPzWs1sp1KNAye9vG3v/0NQG65zrZ5UV44AmqrVq2iZjtqWBecI+CKhZsOHTpEvfXWWwOosmkCuStm8PQwvp943foQNTrNtgrk2vt/+umnGunPP/98TPv3v/8dNa9lz1P12Boaog23bds2prGdtWXLllFPnTo16gEDBkSdNu2tUuBzx+/TV199NepgrebVUDjycl1w/fPTTz+Nmu8JtlUHWz5Qdb24fcD3CddRuR5RbtIsz7wucKGEZ4CfCybr2aiLMJ0SyL1/33777ahDu4SnFvB00GOOOSZqjrzNUd2LhUaQhRBCCCGEEEIIqIEshBBCCCGEEEIAWAgs1iHSa5a1ef3114+a7XLLLrtsjW05EnbWPmbMmJG6TbBmBJtmU4At1ttssw2A3OiKbPF86aWXGnw8tmuwZTSk77LLLg0+hhCB33//PWqOYn3BBRdEzVMKRo0aBSDXfrXbbrul7pttPsGme+mll8Y0tmVtu+22UXPUxWCnA6rsRjydg59Fzj/vWyQES+3f//73mMaWd7bYs/Wep90888wzAICDDz44pnE5xZE0K9nGuLAyd+7cqNlWzc/w5MmTAQAffvhhTOP3d1OFn/kpU6ZEzTbFYItkyyPbLHnlDl4xgqPst27dGkDu81Lp/OlPf4r6nHPOAQC8/PLLMY2jR7dr165R88MWay5rmH79+kUd7L4bbbRRTOOIyrzKyB577BE1W6w//vhjAMC6665baNYble+//z7qM888s8bnvIoDR7/Oih4d6pFcj88nAvi1115bd2Y9XO5UksWa6wrLL788AOCHH34oaB8TJ06MukuXLsXJWJ5wRGuuIwWyfkuYUgMA9913X9ThOvFUzvqgEWQhhBBCCCGEEAJqIAshhBBCCCGEEAAWAot1PhGT00izWGfZMdi+sNpqq6VuEyLfNiWL9XvvvRf1oYceWuPzHXfcMerzzz8/ao78Wggc+Y7PaVakPCEaApcNbMtaZpllomY7Leu62GeffWpofi6C1RMAdthhh6jZKv3WW29F/c033wDItUEyHI2zZ8+eeedzYYbLr3CO2V569tlnR73KKqtEfeONN0YdbNVAVdT+kSNHxjQu9/j9wBHI99xzz/r9AFEQ/Awwp512WtRh6sPYsWNjWlOzWA8bNgwAcMcdd8S0119/PepCosauvPLKUbPdOqveFJ6Bjh07xjS2v+61115RV6INe/vttweQO+WOo0qHz0tJoeXBLbfcUuvn//jHP6Lu1q1b1GxRZsJUEH7vVAq8igOXs/xOC3VovkfD9AEgd6oLR5UO71COlM3TKvfdd9+oeTUanr7Qpk2bnDwAwJNPPhk1W6wrlVCf5jp2PnDdJHDCCSdEzXZmhs8x163S4OkOPDWGpxEE+BpkTX/t1KlTanpYRaShdSWNIAshhBBCCCGEEFADWQghhBBCCCGEALAQWKzrS5rFmi3AWWRZIDlaYdox3Q8AACAASURBVFOBLSxpdgy2WHPkV44QmfY9jkjHcFRhtkD9/PPP+WVYiALgezbNPlRs2M5YaJTjtHKF7WNsp2Ob2sJAsJQCwLnnngsAuPXWW2NaVnT7gQMHRp1mO+Xrz/bSK664InV/wWp3xhlnxDQuA//5z39GnWVvFHXDdkmeXsM2+DQ4MjXDVtLTTz8dANC2bduGZLHRufnmm6M+9dRTAQAbb7xxTDvppJOi5tUlOnfuHHWwLwabdHV++umnqN99992o33nnnajDKh0jRoyIaTydpEOHDlHff//9UVfK+Q6/nc/RmDFjor788ssbPU8NZffdd09N5+u81FJLRc0W5EqDV3/gyNTHH3981Pvttx8A4I033kj9fNq0aVFzxOMwLYDLl1mzZkX96KOP1pm/8M497rjjUj8PUykrDY7yHCzmWdNBs0ibisLnl69BY8D1nPfffz91G7Zp8zQ6WayFEEIIIYQQQogissiOIKdNJs8nWFRW72wIELAwwZPyV1hhhah5JKV58+YAcntv0tYxA7KDdNU30Fq54d8TgqhkrVHLgQzCOauu01wNov7wCGIlBpSpi6xe0xBIpCnw3HPPRc09+LfddlvUTz31VNShxz9rBJmv6dChQ6MOo/ccKI0dKzxClxVkMPS88/E4ABSXe3WNdi5qBAdV//79Y9ro0aOj5jWMs96zYTSAP+f3Ko/ebLLJJlHzurPXX399wXkvFzxCxgHlQrBAfl6KUX7x+4WDcLEOXHXVVVE/8cQTUYd1hoHcdXjDiA0ArLnmmg3Oa0PhZ5gD7fH9lOUGLITHHnss6muuuQYAcOGFF8Y0DsT49ddfR73ttttGfcghh0TN667XBde51llnnajDOsiVCJcDDNcvw4j5qFGjYhoHbNptt92iHj9+fNTTp08HkHtdOagcuxzCWsEAcOKJJ0Yd6mlcjg0ePDjqSh1BTgseVugawOzqDJQzgC6PIL/wwgup23CZxuu583PXEDSCLIQQQgghhBBCQA1kIYQQQgghhBACQJEs1jNnzgSQaxNimwPbSHm9K7biFLJmF9vbQrCULOvz448/HjVP2GcdeOWVV1L3EQJ/ALkBLZjPPvuslhw3TfiacCAUthoGOzVP8M9aC43tx2wl+vzzzwE0rTWkAeCuu+6Kul+/fg3eX7D9tGjRIqbxM8LPDj9TYZt8rG0cXIgtqMUgWL6OOuqomJYVsK0x4N/XGEG6ik3W2n9NKUgXW50eeOCBqHlN2zTbGgfW4QAkHGyLg/uFYEVchn/55ZdR89rHXbt2jZrXwwzlHdu/zzvvvKj5+dtpp51q5HlRJgQ+GzJkSExj6+gGG2wQNb+/OXDUuHHjAAArrrhiTGObIOsDDjgg6qY0fYJttrzuOtvEg6WznL+L7bt8HdmmylOp+Nk+66yzSpy7umELM0/LmDp1atTdu3ev177ZVn3ooYfW+JzvTZ5axTbi22+/PWq28IbpJrxebD7w/VPJQbrmzJmTms7lepiWw/c/B6xkWzWvbRyepz//+c8xjQN6cXDGZ555JjUf4TxyfZatx5W6DnIxLNaVxkYbbRT1fffdFzW/97mtwdcs6z4rFI0gCyGEEEIIIYQQUANZCCGEEEIIIYQAUCSLdbCpPf300zGNLR9sdUtbr7KU3HnnnXlvy/ZptgCPHTs26izb09prr12P3JUXtlFlRV8O8HqgbKEK38uKXM1wRDy2PYV165qSdRRIjzr9yCOPRJ1lL2ZLKT8b8+bNA5BrJ+LPOaoxW0O/+OILAJUTDZyt3n369ClbPvh88L3eVGCLNU8hYXt9pdOqVavUdF5LnQmWueHDh8e0kSNH1rm/YK9ii/WAAQOiZlsWRzbl56h3794Acs8154Mj+BYSbXZhJUSuBoC7774bAHDkkUfWSBNVsM0zlNsAMGnSpKjZiltpbLrpplHzGqRcR6oEizVHdWbqa72cPXt21FnrwYY60CmnnBLTjjjiiKjZDspT//gdGc5doc8O17ez7MOVQJhOB+S+k9Pez1tvvXXUJ5xwQtS9evWKmqcBhnXSuQziSPA8he/MM8+MmqN+P//88zXywesJ8xSJSmJhsliH1WF4ShPX5bge3K5du6h5Wu/bb79dlLw0vVqjEEIIIYQQQghRAtRAFkIIIYQQQgghUCSL9a+//lojjaOXckQ+tlizfbQueyhHMq3LDsxD8Gx95oWkl1pqqajTrLJZ/PLLL1GzFS/Ys/fZZ5+891VuCllcvkePHlHztQq2lj322KPO47HFOtgoGL4+TQGONh1o06ZN1J06dWqUfIRozRyhOh/4vufnoRA4YuZ6660HIH3B+XLANv6maLHmcozvq6YUtTfLEs2/gcuTY489FgAwZcqUmPbEE09Evd9++6XuL9x7DE93OO6446IOUxmAXIveBRdcAAC49957Yxq/a3gfInf6UpgmUwn22kpj7ty5Ud9xxx1Rs1U3nylKlQZHgebo5eF9VM6VA9ieydTXYs2Rprnu8sYbb0TdpUsXAPmVzxzB/OGHH46ay71CYIt1uN+4Xl7f93uxYYt1y5Yto+b6fYDLfd723XffjfqWW26JOlwjrtdcdtllUfNqNFx3530MHToUQFV5BuROlUtbcaESaGyLNdf72M4cosRzGp8znpbz7bffpqbXNQ2X399ssWYrPO+vITS9WqMQQgghhBBCCFEC1EAWQgghhBBCCCFQQot1lqWDrQ1sCykEtiyde+65AIARI0bENLbAHHjggVGzTaa+lhNe+J1tj7wgeVNhk002iXry5Mm1bssRK1dZZZWog51lzJgxMW3gwIGp+2C7IkcDXH755QE0niW5WLDtJ8AWosb6PcHKxtelseDowAGO1llO2GLdlGzJAbZYN7XpB4G0ZwSosiMCwPjx46MO0z7YSn3XXXdFzeUQ26PTotaydTu8JwCgc+fOUW+55ZZRh/cRR5Dt2bNn1K1bt079LYsq48aNizqUdRtttFG5slOxXH755anp5513XiPnpLjssMMOUd90001Rh+l15Xyfc/2OV1XgumMhTJw4MeoOHTpEvdVWW9Vrf0yIwA/kRuEvBK5Lh3Lv008/jWlcVy0nvEIH2+DT6gw333xz1Fy/ZBs618f79esHADj//PNjGttus+A2SeCnn35K3UelWqwLaYMVwg033BD1pZdeGvV3332Xun2YXsfR7nnVDZ5ytfLKK0fNEahDPZbrs2wX32mnnVKPzdcp2Le5zcH1hXzRCLIQQgghhBBCCIEijSCH3gQOzlPsoADcE8CjC2HC/tFHH536Pe6F4tGHs88+u8F54l6SGTNmNHh/jQ2fxxAwZPr06TGNA4dwkKOuXbtGHX53mJwPAG+++WbU3IvMI/vffPNN1N26dQPQ9NYWTQvSVd8e6qYKB60LVMoIcggWA5Q3YEwh8Kh3CIAHZAenqnSygnRlBUYMwT04+AYH7fjXv/6Vuu+0wHA8asJlDwfw6NixY9SjR48GkBuwkEfGRC7scOBReZELr8XKa96mvT+aEttvv33U7NAJa5xXiiOMz3N9g3RxuVyfkaja4HMXApkWGmCSg9EGPvvss6grZQSZXT38uzbeeOMa21577bVR873Gge4OOuigqHkUshB4FDrAzjh2IHCAsIUNXpd9gw02AJD73uSRYB7953MVAsXyO7SuAMBZ8Hrw3HbbbbfdUrdPcwtwO4OvY75oBFkIIYQQQgghhIAayEIIIYQQQgghBIAiWazDEDoHSil2UJyrrroq6gkTJkQ9cuRIAMDuu++e+j2e0P/MM89EXQyLddu2baN+9tlnATR8UnhjwvaUU045BUDuGqDXX3996vc4uFcIKhECbVXfB9us2IrBa6BlTbqvdNjSE6YU8BptiwIczCJQKRbrLDtXJcO2OLavV4pFrlA4AApPoUgL7gYAr7/+OoDcsintcyC3bEm7vrxOK69XynCQrrCuL1u381nffVGC329snTv88MPLkJvKhdek53cdT8tq6rClkS2QwWJdKWtiN2vWLGoODloIXE5w0MBCrdBphLojAPz5z3+u177S1n3mgFiVAteJg50cADbccMOoQ9uB399hjXoA2GWXXWo9xsyZM6Pm4E5ZAbvSpvvw+4nreWzZXdhg6/qsWbMAACuttFJM43c5W/p5CkN41hrS/gvnmINl8n3DdU7OnyzWQgghhBBCCCFEiVADWQghhBBCCCGEQJEs1rNnzwYArLfeesXYXSr33Xdf1Ly2cZa1OsBWgLrW+i0UXps0rEP2wQcfxDS2IlcivA5ZiJL7yCOPxLRrrrkmarZH8lqXwUp22GGHxbTHHnss6htvvDHqNDsuAGy99dYF570SYBtJiPDHUdMfeuiheu2X7SRsIeHrxXrFFVessW0+OnyvenoabE2bNGlS1GPHjq2xbX2jSRabYtjfGhuODMw0VYt1FlkR68OUmDPPPDP18x9++CFqXpc4LUo5l88cnZ9h21WYrnPhhRfWut9FGbZVc4RTtkguavAKDsGSz2t7872etX5oU2fPPfeMeuDAgQByp4ukRVluLLJsvYWwzTbbRD1o0KCouV567LHH5r0/nu733nvvRd2/f/965a+pWKz5WeBVJnjVm7CmM685fPXVV0fNFmu+npdddhkAYMCAATGNbf68DybNYs11Va4nLViwIHUfCwPrrrtujbRgtQZy7eql5IknngCQa7F+6qmnos6qq6bVO+fPn9+gvDSNWqMQQgghhBBCCFFi1EAWQgghhBBCCCFQZIv1XnvtVYzdRdhOx9auv/zlL3nvY4011oi6ocPt1dl8881rpM2YMSPqSrdYM0cffTQAYOjQoTFtxIgRUR9wwAFRs8U6wDZp3sfw4cOjDjb06qTZg5oawd7z2muvNXhfbF1kSx7r8MwBVVFS+XnhbXl/xYAjlrdv3z7qyy+/HED6c1EO2GJd7Kj6pYIjcDILm4U1K8J/uIc5knQWPKUnzR7G15zvhSWXXDLqd955J+pg+TvuuOPqPPaiStYUgA022KCRc1I58LSqOXPmAAB+/PHHmMZRXtl2vDDBdbLrrrsOQG505hNOOKHR8xTgaRJcDhRCmIIG5NrJTz755KjDNT/mmGNiGr8rOZr5SSedFDVH4+/Vq1e98sdlWqC+dvJSwuV+Vr0kRHrnqQshMjoAjBkzJupzzz036jA9h88tT5fJgutSAZ56w+8RjuK/sLHxxhvXSOPVfrJWJ+EI7126dAGQO72p0GlKbK0P5DNFo64o1vVBI8hCCCGEEEIIIQTUQBZCCCGEEEIIIQA0wGL9yy+/RD137lwAxY9izdH9GB6+rwsedv/3v/8dNS9CXl/7ZVpUN7bRNCXCAvVsmT3nnHOi5mjhfP7DuWP7NEfc5SiPWRE867OAd6XRu3fvnP8rCV70nq9BiEDO6VnXqGXLllGz3beSo/xylMxKzifDUSM5Unmafagpw7+NCTbFpZdeOqZx+fDll19G3b1796iDrZ/3GyLLA7lRaNdff/2on3/++ajbtm0LIPdeF7nPEU+f4Wii4dwtiqStzsB2RP6co/UuTPCzFqYtVMpzxGU/38uFwHXEBx54IGpevePUU08FkGv75eljWVGlQ/R8IHvqSV2kTV+rxHuNf1/WtQhWX7ZVM7vuumvUPBVn9OjRAHKjXOcDvwNCG4b3yxZsXjlhYWOLLbaIOrxHQ0RpAFhllVWiZvv+7bffXmNfPLWgY8eOUQcLNlAVrRzIfUbDdeeVR+paZaV6/gINbY9pBFkIIYQQQgghhIAayEIIIYQQQgghBIAGWKw5qnSwK/OQeTH48MMPU9PZwlsXbE3kCHQ89J42NL+oEewMbJfYdtttow4RigHgqquuirpDhw4AgBdeeCGmHXXUUVFfdNFFUXMESbb/sB1DFB+2+7FeGKKH10YxplE0NmzDW2eddcqYk+LDNiouw1dcccWoeTpAoGvXrlFzucHlUyi/OAJmll2Ro8ZefPHFUR9yyCG1/4AmwkcffRQ1l9v5RFAOFne2bIbIzECuxT1YSoFcS/yiRloE9cceeyxqvic7d+7cKHkqJ8WuBzYULvvra7FmuL44atSoqEMU5WHDhsU0fhYZno74+OOPRz1gwAAAuXVfjvbMU0jYdpr2/FXiM8l1QLbQMmH1lwULFsQ0XiWFoy3fcMMNUWdN20mDy0W+Xuedd16NbXnaE0/Paarw1NXTTz896iFDhkTN01Hrgt8PEyZMAACMHz++RhqQ277g65vGvvvuGzU/w9x241UVeMWiQFp090LQCLIQQgghhBBCCIEGjCCnrR1W7J7DrFGfrJ6nNNJ6FYDcXl2NIFfBPXUnnnhi1Ndcc03Un3/+edRbbbUVAGDw4MEx7bTTTkvdN4/+pPW6C1FMuLe6qQTp4oA+yy67bBlzkh/cux6C1/DIN/e4c7AOXrObR4jT1hHnHv664FHjrF5wDjC5xBJLRB0CiPBvygpax24k/i3h3cRBwbLWjyw2t912GwDgzDPPjGk8isQj51kst9xyAHIDLPF14179QoPhLKxsv/32UYcR4kGDBqVuy/eFaBy4TGBXUX3h8uGVV16JeuzYsTn/A8Ann3xS5/74GQ11aC43ufzg8ojdRpweAkmFwIWVxPz586NOC3ILpAfhfeONN6LmEcSrr7466j322ANArrOIRzfZ+Xj33XdHzWt088hygNs6HBiyqdKnT5+oeXSX3VThnkxzdBUKB3Vl51jWOtghfYUVVohpw4cPj/rKK6+MetKkSVH37Nmzxr4aGjhaI8hCCCGEEEIIIQTUQBZCCCGEEEIIIQAU2WJd7AnsbH9jsobm08haP3TmzJlRB3tKWM8ZAD799NOo582bFzVbNtICMDSVYED5cN1110XNVnUOjMD2wgCvmcxw4JdmzZoVI4tCZMIW66byXLKlqbGsuQ1hxowZUYdyoa7gGwAwbty4qLmcD0F08pn2wrbCYlgnjz766AbvI3DXXXdF3bdv36LttzoczOeMM84AkLtOKFsJF4b15iudcL6fffbZmJZlMRSNQ9Y6yFxmvPvuu1EH2zTbp3lNXq4PMmuvvTYAYIcddohpHPQpBJ8CcuvKLVq0iLqpvKfqyzfffBN1Vh0wTNvjAGgcWIoDwt58881RX3vttbUem6dm/vWvf4360ksvrbEtT/VhS3f79u1rPUalwkGV2VbN3HnnnVEH+zvbnBsbfr/zFM6swFvPPfdc1ME2z+su1weNIAshhBBCCCGEEFADWQghhBBCCCGEANAAi3Wape3777+Pmq0UbMPN0sGWx5FHOXIdw5HrQmRkjo7H0f2y1qHbe++9U9PTYKsjR2hla0xY+3ennXbKe7+VDv9utqH069cv6hEjRgAAJk6cGNP43uDIqTfddFPUWdHFhSgWbKdrKlGswzq0QGHrOpaLffbZJ+pQnrMFkS3ArLMisLItvi44+muaHZ3TstYE5UjhHGU/EKI6A9nWLrahhW0aK4IsWwHDetL33HNPTMuKFCtKQ7t27XL+F+WHrbVsNeWVNNLWCOcIuBwhly3UHMG80tZ/rkS+/vrrqDfddNNat+WpIqx5/XWekvTPf/4TADBt2rSYxuX3/vvvHzXX3ZnJkycDAE455ZSYxvfJwQcfXGuey0Xayj5cD8+yVT/55JNRc/sttGfKafm/4oorouYI22yb5vxxpOti1Z00giyEEEIIIYQQQkANZCGEEEIIIYQQAkADLNatWrWqkcZWhFISbL1AVbRTHlJn+wRb3dZaa62ow2LqvD3/JtZNwerYmLBt75hjjsn5vzbYYp1mZxSimLDFKM2CVImwZaxly5ZlzEn9ad68earebrvtypGdhZo+ffpEffjhhwPIXv1BiEURnl7D0/rYtjtgwICog4W6qZa/lQxbrPNZqaAueBpNWD2FV1HhqZ5vvfVW1A899FDUw4YNi3r8+PEAgJVWWimm3X///VFXar01rY3C0bd/++231O917Ngxam4TVQI83ZZ/X7du3aIeNGhQ1F999VXq9g2hadQahRBCCCGEEEKIEqMGshBCCCGEEEIIgQZYrDmq3y233AIgN8onWxQ4ymeWDhE4+XtsEejbt2/Ujz32WNSKhtx0+OWXX6KuVKuKWHjgiMjljMZYCGuvvXbUG2+8cRlzIpoaslYLUROuq6655ppRDxw4sBzZWaRh2zrbnMP0EADYbLPNAORaZufMmRM1r5LwzjvvRB0iULOVmqOWM1wf6Ny5c9R33303AOCwww6LaRwJu1JZbbXVaqSFdhmQa21vKrDFOrQPgdzpnNddd13Up59+etTPPPNMUfKgEWQhhBBCCCGEEAJqIAshhBBCCCGEEAAaYLHm6HEnn3xyUTJTHbYNvPTSSyU5higtbHWYNWtW1Mcff3w5siMWUZqK/ZQj9AshhGgYbJdlLRqfp59+OmqORtypU6d67W/xxauaMJtuuikAoHv37jGtQ4cOUW+55ZZRt2vXLmqe6tlU2WKLLaIOv+3WW29N3ZYjPFfyCj08JZOt8uuvv37q9rNnzy56HjSCLIQQQgghhBBCoAEjyELkQ5cuXaLm9eR69+5djuyIRYhzzz036u+++66MORFCCCEWbXit3YkTJ0Y9ZsyYqL/88ksAQLNmzWJaixYtom7evHnU6623XtRLL710UfPalOA1padMmVLGnBQPDsDFa5Z///33Ubdt2zZqXtO5WGgEWQghhBBCCCGEgBrIQgghhBBCCCEEAFmsRYnhdQePPPLIMuZELGpwUA4hhBBCVAZrrbVW1Kobiuqwlb5Pnz5lyYNGkIUQQgghhBBCCKiBLIQQQgghhBBCAADMOZf/xmZfAfikdNlZaFnXObdGQ3ei819vinL+AV2DBqBnoLzoGSg/egbKi56B8qNnoLzo/JcfXYPykvf5L6iBLIQQQgghhBBCLKzIYi2EEEIIIYQQQkANZCGEEEIIIYQQAoAayAs9ZtbazKY30rGWMbOxZraY/3uUmX1rZs9U2+4eM3vbzKaa2ZNmtrxPX8fM/mlmb/nPdvfpbc1sSGP8BiHEwoEvW9bz+koz+8zMFlTb5kQzm2ZmU8zsNTPb1Kd38WlTfFm1n09f0sxeMbMmt0SimX1sZqsXYT+XmNlZxchTnsc7zcyO9PogM5thZn+YWSfaZmczm+Sv5SQz6+HTV6DrOMXM5pvZjf6zk83smMb6HaK4mNkQMzswJb2FmT1Zjjzlg5l1r14nos8GhzKoCMfpYGb3eL2Pr1NNMbM3zWw7n76umU326TPM7ET6/ihf9s0wszuoXjcoPF9CLMxUfAPZN/AOp78zC5da9tGcv2NmW5jZv/yDP83MlvbpKhCqUWBF8BgAw5xzv/u/BwLonbLd6c65ds65LQB8CuBkn34hgMedcx0AHArgNgBwzk0D0MrM1qnPbygnjdFBkW/Ft9oLs5d/YU4zs9fNrB1td7p/Bqab2VB6Ph41szal+yWVi8qh0lGKxqaZbQZgMefcbJ/0NIAuKZs+4pxr65xrD+BaANf79OkAOvn0ngDuNLPFnXP/AfAigEOKnedi0hQb8Gn433EMgEd80nQA+wN4pdqm8wHs5ZxrC6APgAcBwDn3g3OuffiHJKjNMP+dewH0K/FPqEE+jaCsxl8R8xA7s82sPZVDU83sENouqzN7XTN70ae/bGatfPoaZjaqVPnOB+fcXOdcyc5dKXHOHeece6dIuzsfwM1evwignX8GjgEw2KfPA7CNT98KQH8za+E/O9g51w7A5gDWAHCQT78FQP/6ZsrMjjKzv9Xzu3U+F37/LWrbJs9jccfcJWb2uVV1tIXBm9SOOf/ZC2a2SkPzUUyskTs386XauW7ny6NpZva0ma1I22XVmUpyriu+gQygNYDD69qoDs4AcDcQX7gPATjRObcZgO4A/uu3K0mBUAEsZmZ3+5tqjJktAwBm1tfMJvoX4N/NbFmfPsRXzMcDuNY/VA/6G/MDM+ubcZxeAJ4KfzjnXgTwQ/WNnHPf++MYgGUAhEhxDkB4GFYCMJe+9jSSRrOoP/zC/AjADr5CeTmAuwDAzFoCOAVJ42BzAIuh6rzfDuCcRs1x5dAaKocKxswuMrOZlozODg0vZ1+pvtHM3gRwqpntZWbjLXGPvGBmzfx2O1Cl5C1LRgSbWzKKO8WSTpxuKYeuXha94ZybV32jUBZ5loMvi5xzPznnfvPpS6OqjAKA4X7/JaWWc5dvub2aL+9nmNlgAEb7PsLMJvhzeKdVdcIssGS0/W0zeyNchxQ29ddwtpmdQvs9w1+T6WZ2mk9bzsxG+n1ON98AM7OOljTSJpnZaDNrnnKcHgAmh2vhnHvXOTez+kbOubecc+F9MQPAMma2VLXzuSGANQG86r/zE4CPzSyt46TeWEJm3arIjaD6wp3ZPwE40pdDPQHcaGYr++2yOrMHAXjAp18G4GoAcM59BWCemXWtfkAzOzvcK2Z2g5m95HUPM3vY69stGeGcYWaX0ncHmNk7ljTIB9Fut7ekg3e2+YaTUae0JY2lYZZ0On5gZtfSPo81s/f9c3C3pTTafN3nfjN71cw+MbP9zexaSyrno8xsCb/dX/0zOd3M7vJ1G5jZBr48e9uSkdr1/a6Xt6TD4T0ze5i2f9m8MyLrWbSkE+Lv/ngTM871CgC2cM697a/LAlcVkZfLuf8453716UuB2gRUNi4OYEn6zifA/7N33mFSFVkffo8iIkFEMKComBAzChjBiK5pzXFdFVzdNUfWsLqKcQ1rzp8Jc84RMSCIkiSriOuKgq4BAxgw1/dHhTndc3umZ6Z7egbO+zw8nKmbquveyr86RUcRWTb/uU2E/kCdOsix/FN/5w/MAVyhBtueDWGZA3OBu4Cj6hj3iiCNOKBaRFrfApwW0vQx4O/qvEJtpvKktXOurP+Ag4HJwCTgrhD2R2A0MAF4EVgmhG8JTAz/JgDtgFHAnBB2YkiUp8P5dFjXnwAAIABJREFUbfCjwGPC+bsViMN/gUWDvRNwdy1xXgTfIdtPhb0JLFvu9CpD+ncFfgV6hL8fBP4c7I7qvPOBY4M9GHgaPwMDMCi8v8WATsBMYLm857QEPs14fnpfeeG3A58BrwCtQ1hnYAowC/ga6KnO3xx4qtLpWc/0nwbcA7wDPKx+b0/g1fBtDQE6h/BhwMXhu54O9A3hC+MbJlNDnorvawZwDjA+pF/3jHi0A94tEMcOwMfBXj683yXxFePTwPbh2EL4jnWLSqdrPd6DlUONn+a9Q3q1Cmn4HjBQfePX532DcVeFw4DLgv0UsHmw24Zv8mTgDJUn2mU8+1Vg3Yzw7zLCjgbeD9/96ip8Y3xn6ztgDxW+MPBFBdOu2HL7auCsYO+Mb+B2AtYM6bpIOHY9voNEOOePwb4EODMjboOA1/EN6k7Al+Fb7Ykvf9qEd/UWsAGwF3Czur59OP91YKkQth9wW8azzom/Ly98GH4QLyvt9gZezAg/C/h3XtgZwMkleF9dgXeBO8PvXgk/oDgu/H1OVtzDt3UBvlwaRVUZNBi4MVw/HdglhLfC151T8GXN1iH8GXyHiBAe3/u5wOEZ8X0d6Frgt0xC5YMQJuH3nBr+fgtYQR2bq87dDZW3VfgmwEPBHoEvLxcBzgb+FsKXVHlsGLAe0DGkbSwfllBp9BC+XloL+I96F1OD3R9f7rYPafchsAK+AzUDX88tEuJzbYFv/bVwzvr4wYQdw7HHgN11vIN9F1V5aDSh7AjPb42vO+YAXULc3wD6ZHwbmXkR35GI568IvJMR762BR/LC9sC3Rb7CzxrH8BXwdeMPwNF51wzBt8XuJZQrIfxmYC/1d13q1/4xrYFlQjpOCv820+8vnDMQGKTe+d4qP4/Ft4f+D/8d7o3PU+/iy8/FgG1DHKbg6+lYB8/At7PGA/vn/e7tgcF538HAWsoACWkb799B/45K/cOXcdPx3/F95NbBV+LLmJPxg/GPhDQdS1W9m9Ue6oxX8UwM6R/bqNvjv+fx+LzZth5pPYeqvL4C8HawC7aZypXWZZ1BFi9zOxPYxvkZkePDodeATZyX0t5P1azUQHwG7QH0BebhZ0xGOD9qc0XeI84AXnbObYQvEC4VkTZ5cVgZ+NpVjZJ1A1wYsR4vIqfknT8E+Bw/86nXsYzHd9KaIx845yYG+018AQSwThgZnYKfEVlbXfOQq5JKAzzhnJvnnJuN79Tmj7p3Ar4pNkLOuQH4SuodquSKB+AzShd8ZrhLjcR/Th1HBZsQa+AbDGsCc4GjwsjzNfjCvie+4L5AXdMifNcn4BsQAH/Fv7sezo/c36POn+2c2xDfiMmS0PTCF2RZ/AV4DsA59zG+E/4RXn41xzn3Qjj2O/AffEOh2WDlUMXYHF9u/Oic+xbfKdM8oOwuwJBQFv2dqrJoJHB5mHlawvmZxLHAABEZhO8EV1Op4CvwL4qJpHPuOufcqsCp+O8kho92fqS6N3C6BDlXKBd/DrM05aKmtCu23N4CP+KOc+4ZfEMXfIOxJzBWRCaGv1cJx37Gd7Iht67I5xnn3E+hPvgc39DtAzzmnPveOfcdXsrcF98w3U5ELhaRvs65OfgycR1gaIjDmfhvIJ+i3yOkvH4x8LeMw/vjG4iaUtYrq+PL+bWdn2U7wznXC9/J21JE1su4pg0wKpRLwwGtzuqKr2d3Bm4M39/RgHN+duUA4I4QPgLoKyLt8QPisYzoS54cXURaAqs452bkRybMprfEDxjFsNuBT4Hu+DoLfGdmz2DvAbQTkY7h73Hhufm8CfQUL5n8Cd+Q7hXOHRHO2VdExuMb4mvjO75zgB+BW0VkT3xHLvK4c+5352fkC6kdXnLOzXHO/Qi8jR+82Ah41Tn3lXPuF3xjvhDPhXOm4DvuUUI+har8sbV4BcwUvOph7VA+LO+cewwg5OUY9zHOuVmhTp1Idj4rlBf7AdeGfPMksLgE6buiWr5xzj3mnOsO7I5XjcXwmaE9sRpwiCjViHPuD+Fei4bfFUn5ph71q+Zq/HtYH9gQP/BSLNc653o7r3RbDD+I9DD++zsw1N8O36neL+SZFsCR6h5fOuc2dM7dn3fvzfFprjkmKBhuk2w57154tctPAM65r4FFVb5odESkJ77c64FvU/fOO6Wlc66Xc+4y4Cr8LHlv/G+JMvys9tCfgCEhbH1govhlfmcC/UJbdBxeNRcpNq3fwg+ygVfPrRDsgm2mcqV1uSXW2+Ar7NkAzrmvQnhdGkM1sT1+zcRE/GhIK/yImia/oGiBr8gPDP/vISLbxoPFFAjNkJ+U/Rs+DcAXHMeEguMcfPpFvs+7h6vl73l519dKaMjdj8+M4DtqD4Zjb4T7xbW1rcIzmiMznXMjg303/rurrYEY18nlV4w3uSq54Ve1nK/JbGiKyNb4dD81/N0BXzitjP/e24jIn9UlzTEfWDnUNNFlzDX4Bs+6+M5N7IxehJ9RXgwYKSLdnXPD8Z2/j4HBEtYu5VHn8ghfFu2eH+icewc/K7GOCl4U32ivBIMpvtzOQoA7XJVccA3n3KBw7BfnXCzbdV2RT6E6pRrOuen4xu8U4HwROSvE4S0Vh3Wdc9tnXF70exS/DvYx/Gz4+3nH1scPOuY3ektZr3zonBul/s7q7OVT04DEg6Hz9x5+FrQ7vqyIgx7T8DOi3fAdzC3wjc1n8BLe1sDKrrokPXMwW7zE/S5gQOi4EZ6TNZg9EN/pn4CfYfoY/x1AgTIqdDI/wM8gvh7ivDW+Y/ZOGEQcCGwbOmzPAK1C+bsRfqBwF6o6qJD7HQrZFP2t1nR9SBOdP34HWoQBiuvxg93r4mdXa/tmi4lToby4EL7jGfPO8mFASlMw34TycxXJ81vi/BKFqeQNboSBhSeo6rRAbr6pa/2q2QY/qI9z7rcweFYs1QYlMs5ZAz9BND38fQc+n0QeqH4JUL2+vgFYFd/R/B9wmT65hoG5StfXffGDlj84L5l/Mu+4/v2FBl6KHaTeBF/GjQz3OAQ/GJX1LE1+Wh+Kn0R6Ez9b/XMIr7HNRBnSulJrkItuDNVyH8HLPGJBsWJozGjyC4pZwHDn3OwwmvcsvvJOFFEgzC+0w68XWoTa19TtJiKtwgjNVvgMkggjOAvHWZZCiGe1aAO74mU/4Gcttw3H1sSnecw43Sg8A9rUyRpcqK2BGCvQYiv02s6vVmGGGY1b8JLgL0NwP3yF8kVo0DyKlz1F5qd8YOVQeRkJ/DGUG23xjdtCtMc3ssFXrACIyKrOuSnOuYvxZU53EVkJ+Mw5dzP++92w2t18Y3612iIouU7ndsZLmRGRleO6rPC87niZGKEMnB3yR7moKe2KLbeHE9bNi8iOeBkaeIc9e4vI0uHYkuE3NpQRwO4i0jooKPYARoh3mPODc+5uvOPGDfESyKVEZNMQh0VCIzOfYt/jEvgO1WlqMFJzANVnj6G09UoanCjU2cu4pqYBidoGpTVjqZqNHY7vlB9O9VkwyK4LFg9xPCOvk+8fnDeY7bwjrD3D7OAZISx2umsqo0bg02V4sI8AJoQ0WByfhnPCLOaOIW5tgfbOr/s8kdIomMbiO/gdQj7fq7YLaiCm5ewQ173BO4gDZonI7gAismgYtGgoL6Ccy4lIj4xzcvKN+LXQcZ3zhvgBvi9FpItU+aTpgO94vCsibcOASVz7uTNV7TQoLt9k1q9F8Cu5fZNq19VzUCKLQgOKOXnEOfdZ6MD/Hp6VFJQ1DczR9Otr/fszB17qMEgtwFB1/VrOub8UeJYmP62nOee2d15ZeR9Vapba2kwlT+tyd5BfBvaJ094ismQIL7oxhJcYFpKyDQGOVRl/g4xzppM7KjsEWDdU4i3wo59vl6hAaG78E79GZCS5vzWLyXhp9SjgPFflEEXzAr6ABUBERuClS9uKyCwR+QNh9iKM+k3Bjx6dGy45GThcRCbhM0Z/1XjYGl+BN0dWjA1BfIP1NYpvIGqGAn9TDfclazlfk19hrojv/B6kRlfBD1JsEvKH4AcsdGevOeYDK4cqgHNuLH4kejJewj8FL5fMYhDwUBg1nq3CTxDv+GYy3iHHc/gBuklh9mo/vDQsn2fCeQCId6wzC2gdyqJB4dAx4h0CTcTLweJ30Cc8YyK+8XNUnCGhEcqiWtKu2HL7HLwTo7fwctiPwr3fxitWXgjpOhRfDjc0zuPxs9tjQvxucc5NANYFxoS0PBs433lv4HsDF4fyfiK5A3GR51AzPiKyR3iPmwLPiF+KAN551GrAWVLl1G1pdZ99ye4gb47//aUms7NXR/YRkYXEO3ZaBV9njCAMioh3OrYi3rfEz/g19Pvgpcu6I5pD/mC2eMn1Y3inW2k5R02D2SLSSaqWP52OXyIUqamMGoH/1t5wzn2GV2FEp2mT8B37afg1r3Ggox3wdPhWXyNXtlkvnF9KdCH+Wx2JH/yqy+ylvtc3+E7TVHy5ricPDgKOC3F/HSiFY6vjgF7i5b5v4wcZ8uM0DWgvVctA9gKmhjx4HV5y7PD+CEaHPPgqfo1+9CPwZIj3RPzs3I3g2yr4vDYu3LtO9WseLxEkz+I9qrfH+6ZZWryTwUXJHljNHJQI6Lr6XaBr/I7x7+PVAnHR5LeXdPm4B+H7rmlgLuSZZQkDqxViOH7QcrHwLfyxhnMzB16y2kOSPUg9CthclRltQhlVG/lpHQduF8LXUzeGQ5ltpnBuedLalX+B+CH4j2kSYSE2fkbkv/jRzUuBYSH8GqocEN2HH+VaBJ8BJ1HdOc5iwE34xsNbZDiDCue9BKym/v5zOH8qcImrchYwNjx7aohLi3BsEfxLbHbOiUr0DgdRi4OCcN6GBAcNJX7+ovjM1+zSnyonXXeHb+gRqpx09cAXYJPC93h4CB9GlaOOTsCMYLfAb0PzdrjmmBA+A+gU7F4xP2XEZQrBoRG+UPuaKucL49R554Q4T8VL7qLTiWXwa6cqnq71eA9WDlUm3aOTjtb4BtWGjfTcxUKZsXAZ7v0o0G1+Tbum9g/feVu9DPfdgBLVV+Q5Fgphg/EDYy+Fb6Z/CNfl+3fq/L1V2TSYOjjpCsfOA14P9nL4GefMbwa4Fb9WMJZDv1BVF0zE100L4TuPU0JZdA+wuIrreyFutxDqiHBsIBmO1ZraP5W/WuDX+O9RyfiU4fedCBxWhvvugZ8k0WF1qV/7k+uk64nwjU0kOA/DDwK8j28fDSbbSdf54ZyRIU/Ec/aieCddnQr8xpXws5Xx77vC9ZPxA5fRoeqZ+IEwnXeWDsd6kecorULfgXbSdS+5Trp6qfM64WXQk/FtzBtDeFZ7KL7vCfgBrpXDudtQ1X6ZDOxaj7Q+PsR3OnARwWFXOFatzVTOtI6ewuZrRGQPvEfkM2s9ufD1Gzrn/lnamDUPwmzLd865fxdx7qH49W2/1XZuHZ6/Ot7ZxbBS3XNBREROBL51zt1S68mFr5/rnLu1tDFbMFgQyyERuRe/LqkVvlz4VyM++w94D68flfCeLfFeOO8s1T1reFbF0q4pISJr4D3gVpsNbeB9twPecxnOquZ3xMtsT3TOHVSGew/HL9v5utaTK4j47aL64fPXC8Dxbj5qEAeFwD7OubtqPblu990HL6Ut2ilrc0REHgNOcd4HQH2uvwp40vntTo0aaKppvUB0kAFE5LAGdAwWiALBmL9paIUpIgPwMy61Oa0yCmDlkGEYTYEyDWYvhd8e5vFS3dMwKkFDB+ZE5HDnJchGLTTVtF5gOsiGYRiGYRiGYRiGURN1cnffqVMn17Vr1zJFZf5lxowZzJ49u9AWBEVj6V8/SpX+YO+gvlgeqCyWByqP5YHKYnmg8lgeqCyW/pXnzTffnO2cW6qh97F3UD/qkgfq1EHu2rUr48aNq/1EI4devXqV5D6W/vWjVOkP9g7qi+WBymJ5oPJYHqgslgcqj+WBymLpX3lE5MNS3MfeQf2oSx6o64bphmEYhlFW5s6dm+zffsteIjlvXtWWhz/++GO14/o6fT/NmmuumezWrUuxRemCzS+/VG0N/fTTTye7U6dOye7bt2+jxskwDMOYv3nkkUeS3bNnT8APIjSEcu+DbBiGYRiGYRiGYRjNAusgG4ZhGIZhGIZhGAYmsTYMwzAqyNSpU5MdpVE///xzozy7X79+yR46dGijPHN+Zuedd062Ts8tttgi2a+++mqjxskwDMOYv+nfv3+yTzrpJADOOeecBt3TZpANwzAMwzAMwzAMA5tBNgzDMCrIzJkzkx1njgcOHJjCVl999czrHn744WS3bdsWgAMOOCDz3DZt2iT7+uuvT/aUKVPqEWOjEKuttlqyX3zxxWS3atWqEtExDMMwFgC0U87ff/+9JPe0GWTDMAzDMAzDMAzDwDrIhmEYhmEYhmEYhgGYxNowDMOoID/99FO1sAEDBiR7rbXWyrzu8ssvT3bv3r0B2GeffWp93tVXX53s5ZZbruh4GrXTrl27ZDvnkt29e/dKRMcwDMOYT9Fth19//TXZLVu2LMn9bQbZMAzDMAzDMAzDMLAOsmEYhmEYhmEYhmEAJrE2DMMoCr037+jRo5P9yiuvADBq1KgU9ssvv2Teo0OHDskWkWTH/Xi1tLhFiwWjeM7a8/jTTz9N9t13353sL774ItnTp09P9kIL+bHe448/PoVp+fR+++2X7DfffDPZxUiyjYazzDLLVDoKhmEYxnzEG2+8kWzd5tp0001Lcn+bQTYMwzAMwzAMwzAMrINsGIZhGIZhGIZhGECJJdaff/55ZvjSSy9dyscYTRy9Sfezzz6b7E8++STZ8+bNS/ZSSy0FwK677prC2rZtW84oGkY1vvzySwBuu+22FDZ06NBkv/baa8nW32+UQm+44YYpbPHFF88896uvvkr2Dz/8kOwHH3wQgMsuuyyFXXDBBcnec889k62l2fMDWV6s33777WTfcMMNyS7kJfm7774D4IEHHkhhn332WbLnzJmT7NmzZydbvzOj4eiyX7PIIos0ckwMw/Pxxx8nW5fFuo2RZevyZcKECcluimXGrFmzkh3jv8QSSzR6PH788UcArrvuuhSmvQu3adMm2YsuumiydVxjeOvWrVOYLve1h+L27dsnu1WrVgAstthi9f8BgW+++SbZ+jsohF5Con+jUV5eeumlZMf3D9CnT5+S3N9mkA3DMAzDMAzDMAwD6yAbhmEYhmEYhmEYBtAAifWUKVOSfeyxxwIwfPjwFKZlCZtvvnmyr7/++mSvt9569X18SYnyuxdeeCGF9ejRI9mrr756o8epufH0008n+4wzzkj25MmTi76HlqZo77LXXHNNsk16bTQULZ+64oorqtnff/99CuvZs2eyYzkHsNVWWyW7b9++QMO+zSjlPvXUU1PY3nvvneyNN9442RdddFFmPJorWRLrfffdN9nHHHNMsrWkKnr+Brj//vsB2GyzzVKYlvbppR4a/X6jTFtLMvWyIb1EREu2NVtvvTWw4NYZv/32W2b4guKRfUHirLPOSnb05A9w8sknA7llVufOnRsvYuTmW93O1EtcChGlmscdd1wKu+SSS5L94YcfJnvFFVesV/x0+fHee+8lO3rmnzZtWrWwfFtfF8sugPXXXx+AiRMn1ituDeHFF18EYODAgY3+7EqiZd/Rg/K1116bwtZZZ51Gj9OCgK7XtedqLbduCDaDbBiGYRiGYRiGYRhYB9kwDMMwDMMwDMMwgAZIrP/3v/8lO8qq/vWvf6Uw7YHu0ksvTfYWW2yR7GHDhiVbS5qzGDt2bLKjjAPgtNNOAwrLJp944olkf/HFF8nWUpssid+FF16Y7NNPP73GuC1o6A25jz/+eCDX0+y6666b7McffzzZ9957b7Kj116ANdZYA4Add9wxhWkpvpYPPfTQQw2Ku7Fg8n//93/J1jLmuXPnJvvAAw8EcqWDq622WiPEDrbccksA3nzzzRSmPTLrZQtRxgu5eebyyy8HoHv37mWLZz46vmeeeSZQ5ZUeoEuXLslebrnlkq2lie+88061+2oPp5r3338/MzzrPWlZbyFppZZkRw+sDSF6UNW/aaWVVmrwfZsLhaTn5sV6/kB7c9btvT322KOarXcDGDBgQCPEroq111472cXIqnWZGeXNuh2pf5/2hP3kk08m+9133wWyJdP6OMCnn35aY3y0ZHeVVVbJjOd2222X7A8++CDZDz/8MJDbbmqspWlTp04FYKGFqubevv3222TrZS8///xzsnU9HHd30O1yXa7o6/S9s64rBR06dKj1nMceeyzZ9913H5BbV5nEunTE5VQA48ePT/bgwYNL/iybQTYMwzAMwzAMwzAMGjCDvP3222faWey3337J1g679OxHdPBVyLnJ1Vdfney777472dEZw+23357C9KjSTjvtlGw9e92xY8dqdu/evVPYJptsUvD3LIjo/S31+4wjZ2effXYK0zNwjzzySLL1rPFuu+2W7DjLf8IJJ6Qw7YjopJNOSva4ceOS3atXrzr+igUHPWqu1RV6pHODDTZI9jbbbNM4ESszWt2gnWrddNNNyd5ll12SrZ2vrLnmmmWOXS7aEUtUXbz++uspbP/990/2XnvtlWz9W84777xkx/JU37fQTGyp0M4an3/+eSB3xlQ7y9EzL4WIMw+F9rJcdtllk61n0pdeeuka77vDDjsk+8gjj0y23n8z3ls7FNLP03td6lnyo48+Otlx9uC5555LYUcccUSNcZuf0MoyzYI8g6yVCaVyHtOY6DL1sMMOS7ZWhOi8HdUhf/rTnxohdtnomV3dftCO9vQMq3a8FdG/W9eb2s5ihRVWSLZuz+pZ6G7duiU7Kuh0eNeuXVPYwgsvXOPzINd5YVTZ6dn+6Eiy3MQZZK3o0WrSQnTq1KlamE5/TVMsS5555plkxxlnXedUGq300uqmQu2DWE7p+k/v/13MN1lKvv7662SfeOKJydbf9cEHH1zy59oMsmEYhmEYhmEYhmFgHWTDMAzDMAzDMAzDABogsa4LWv42ZMiQZGu5dZTLanmudmSgnT1prrvuOiB3+v/OO+9MtpaylAItXdX7ZUZZUfv27Uv6vKaC3tdOS4yi86PDDz88hWlJmb5O71P26KOPJjvK4PW7nzRpUrLPPffcZOu95cqxKH9+QcvKtFMD7cDinHPOSXaUWH/55ZcpTDtA0HvOikhpI1tCtATwrrvuSraWImuHV/X9LTrt4veundYUw6qrrprsWGZpB3caLSvT+wLr8+OeyNoxod5PuBxoKWBEL4Hp06dPsrVMSpedM2fOTHbcC107qdHsuuuumXZtaKmYdgBYCvS+2ZFSOPxqjhSSWC+++OKNHJPGQztlirLKWbNmpTDtVEgvP9BLzGI7BnIdHFUK3U7TSwRmzJiRbO1E8JBDDkl2dNxZ7uUdNaHbKKNGjUq2ljnrb1I7uYrL/bRU+tBDD032WmutlWzdvoy2rjefeuqpZOulTm+88Uay49IUqGpHaim+bgdHR4z5vytruZl2EtVYEuu45EY7SdNoKf4111yTbC0HjzJt7dRso402SvZrr71Wmsg2EF3u66WE0SFdJb9/yF2KVYplPnq5gHa42xhLHbWjZN0Hu/HGG5NdjnZp5UtiwzAMwzAMwzAMw2gCWAfZMAzDMAzDMAzDMGgkibVG7+mmPRLvvffeQK4kV8sKDzrooGRrmUb0Gqqlt4Vk1dpr4ejRo5M9cuRIIFeyoiU32sNhIU+s0Ruq9p7YWLKWcqGliHpPQL2PrJZWR7Rc7KOPPkp2fFeQKyOLsqH1118/hem9s7VsVr/nf//738nO8oK4IDNmzJhkF9oXUO8Te/LJJwO5+wXr/KLzn97fUt+jkowYMQLIXV6hZdVxj95Sob9fvadvXdDl2wEHHFCve+g8E5k9e3a97lUfsiTWWoapJdZ6P0ltN/c9Ip1zlY5Ck6GQxLrUS52aEi+//HKyP/vsM6BKZgy5ntKjfBRy5YHaa7uW0TYGv/32W7IHDRoEwAUXXJDC9G4HN998c7L1u9ZLCsq9rCMfLWGPy7R020CXrXq3DV3+Dh06NNlRYq2lz1pWXRu6rnn11VeLvq4YoofqfLTX/EihZSqlRu9tHGXRWsqu0emh25Ha63WPHj2A3KU3Og81FfS70G0lvdygEsT9oLUsWe/ccdVVV9V6j7gcQNfl+n1tttlmydZe2KPsXJcHus+k00nvBKFl2j179gRyPWXrdqleIleXfFkfbAbZMAzDMAzDMAzDMLAOsmEYhmEYhmEYhmEAFZBYa7T3x+jFrnv37ilMS1y098cXXngh2VG2q2UeWmap5QSTJ09Otj4/Sm20lEh7zdtrr72Svfzyyye7c+fOyY4bhVfac11Defrpp5N97LHHJlvLlLK89WoPjRdeeGGyd99992RrWYYmyiS0XPuGG25ItpblaOmUlntpOUlzQsvbpk+fDsDEiRNTmLajdAZyJaqtW7cGcjeA1x4gC6GlKlGO9ec//zmFvfLKK8nW8vjzzz8/2cstt1yyG1turfPwUUcdBeRKOU855ZSyPfuf//xn2e5dF7S300ghSX050OVhlJ1rWdaCwO+//17pKDQZtKdyjfaAOr+x7bbbJjuW51988UUKu+SSSzKv00szLr744mTHclSXs6WWy37yySfJzirztad8Xefq9o2Wber3q3cUaQyeffbZZOt0jOi6S9u1oT3f14UXX3wx2d9++22ytWfte+65J9lvv/12suPyGF23FUJ7Qc9a6pJVN5SD2G6BqrqnkBfrQt799c4LK6+8MpC7I8zGG2/c4HiWmjvuuCPZ+vdGiXCliNJvXRbrHWL0Mtfa0HlZ72Si+1X6+42e4XV5FXemgKq2KuR6+tfLbWO/75dffklhWrLfmG0vm0E2DMMwDMMwDMMwDKyDbBiGYRiGYRiGYRhAhSXWWsIZPYFq77vt2rXLvG7VVVetFqYnB73zAAAgAElEQVQ3wp40aVKyN9lkk2RrD4baw3Tv3r2B3On/uqKlxM2R6F1Ty620Z7lbb7012XpD7vjeosQVYO7cucnWcuvaOOmkk5KtPXxqL6F/+MMfkq2l9JWWWEdJlJaKFJJKa1vL/rM8pLdt2zbZOj9o+UyULWnJ3p/+9Kdk77PPPsnWyxO0t/H4Th9++OEUpt+jljjpvKbzcJcuXYBcj4Nbb711td9UKu6///5kx+9Xe8HXHuWL8TQc5WFRJgSFPSzr9I/31ssM9PPqEl7MuV9++WWyv/rqq2px015dy432BLvCCisAuZ7rFwRMYl0lJdXfns5H2p7f0B54//GPfwC5kkbt1XarrbZKtq4bdbrFHRx0Wa3l1lraXBuvvfZasnWdqst5LZt+8MEHgdw6Q6PLPe35+e9//3vRcSo1Oj1i+0V7GH700UeTHb3s1kTcEWPJJZesV3z0UiO9FOrQQw/NtHU5H9sRWgKv2xR6GZXeWSJraUNjSay1Z/ZIoXqzkHRcp1lsv2uJbWyjVxq9fGjYsGHJ1ruuVJqs+l97ya8vugwvp8w5tsP0ElztrVrvIFJubAbZMAzDMAzDMAzDMKjwDLIeIYqjmIVmjTV68X5ELzyPo7jQ+HvyNSfino1QNQrbsWPHFBYdj0HhEajoFEM7v7j66quTveaaaxYdHz0Sv9NOOyX7pptuSrZ2LKWdesWR1bo8r5TEEffHH38887h2+KGdwZ1wwgnJjvv/xf8hN00KjZzF2UU96qz37i60F7UeYY57zulZY43eN7wQ//nPf4CGKTHqQtbeiNqhzIJGdGRYqf3X4/P1t9dU0HtD61nvrLqkrmTNIOs9HBcEsvZ71Q7cFhSiY8B77703hR155JHJ1uohPXOr9z6OKildN/zxj39MtnZEuOWWWyY7OjfSZfyUKVOSHWdGIdcBp3bIpZ2hZqFnxnX7TSuWGhs9+xjrWV1XaueWOu2i4gVyVXGRQg7n6oKOR6GyRj87lk36PdT2TiB7//HGmkHWZWtEO+/U6G9Go8vkLAVSlmq0EmhVmqaS338+sS2v25xbbLFFsmM5kU///v2TrcuHxiaWi4VUCI2JzSAbhmEYhmEYhmEYBtZBNgzDMAzDMAzDMAygwhJrvV9nXfZQzdpLTTvJMll1YbTcSMuY58yZA8DIkSNTmJZkabRzrChn104nSiHP0LIvvd+fli5q+VLcY7AxJdZaTh3tCy64IIXpvbT1Xo3aucm0adOSHZ1OaclmfC/56HMKyaLrQtxHUTvVGjFiRK3x0Gy66aZA4+1ZqJ2zRCmhLlO0rZddZMlBmxO6rNRy/eOOOw4ovN94uYnf0KhRoxrleVoCGfO/3sdd70GqHclst912ydZlWX3JcgCnl6osCLz00kvVwvRSkQWFKA/UDrG0Yy4tm7722muTreu1KLHW36x2OhUdaUGu5DMumdp8881T2F133ZVs7XhLy7tr45ZbbsmM85lnnpls7USnkuy9995ArqPIQg7HGpsHHngg2bqNqh1dRnm8dspYDJ9//nm1sFI4ZiqGrG9JL6/QbQpdX2l0nZYlF+/cuXNDolgytMNYvfdxIUl5JYhppdvy+++/f7LHjh2bbN2GXtCWBRWDzSAbhmEYhmEYhmEYBtZBNgzDMAzDMAzDMAygwhLr3377LdktW7Ys+jotnYvURTK0IKM91ek9eKM0UUultBxbe4++8sorkx1lrjfccENJ46n3O1599dWTraVmffr0SXaUOGspbbnJ2oO2Z8+eyd5zzz2TrSXR22+/fbKXWmqpGp+hZVLaK6X2fBm9FWpvl3pPZO2tU8uOBw8enOzbb78dyJWoFkJ7nNTS+kGDBtV6bbmI3+3zzz+fwm6++eZka7lRU0GXefHdFiOX13tJ6j3f4+/Ve0auscYaDY5nsUSJtZaAavlxlqfYuqLLrG233TbZ0ZNq9+7dU5jOW59++mmyS71vcZbEeumlly7pM5o6WeVGr169KhCTpoH2Ln3OOeck++yzz062lpLec889yW7Tpg2QK3nUEklta2J9VN/9ezW6jj/xxBOTreu0Spb3hYjLe7744osU9v777yf73XffTXaWLLnU6Heo633N9OnTk/3iiy8CMG/evBSm6329c0OhXS3iEpLGKvv1kpWI3m9alw2F2hd6GUKsF3X9qJelae/GeveackmEdT9FL8+Ke243VbS36u+++y7Zuj2ove3r9rThsRlkwzAMwzAMwzAMw8A6yIZhGIZhGIZhGIYBVFhirSm0gXjW8b/97W/Jjt7vXn/99RTWrl27ZGuZ14Ime4toSWb09gu5sugoadaembXHTb15+6mnnprs6LW51PIWLcfU3oq1R00t8Tr55JMBmDVrVgrr0qVLSeOUzyabbJLsKOfcYYcdMs8dPXp0srV360qivZBGCb2WoBVa9qA3oG/dunWZYlc3otfYo48+OvN4liQdcr2FZnnH10TpI+SWJVGqp2VlugzS3i61l3W9nCHKMDt06JDCtJdmHeforRbg559/Tvbw4cOBXHlhY0qsoydPnY76N5RC+qm9A2dJzddbb70UNnPmzGTrJQf6PZYCHY9Ic69rtNd9LRHWv6t9+/bJ/s9//lPtHvrda8/mulwudxndFDjrrLOSrb9D3Y7RnuejDFVLIYuhFPnr4osvBuC0005LYQcccECytdf3puz1Vtddusxt27Ztss8777xkH3zwwcmui9RUy2/j966XXmkZ/WWXXZbsZ555JtnvvPNOso844gggV+KuufXWW5OtlzdVkqyy7rDDDku29qr+wgsvJPvhhx9Otm7ff/nll0Bu3aal/Rq9tDK+Z/2+tV2oPROX50DVsjMdptsOejmN9s7dFPnwww+Trb+x2267Ldkmq64Zm0E2DMMwDMMwDMMwDKyDbBiGYRiGYRiGYRhAhSXWG264YbKvuuoqAE4//fQUtvPOOydby5RGjBiR7OjhWMuFr7766sznRS+rAKecckqy//rXvwJNWzLUEPQm7Fpq8d577yV7p512AuC5555LYdobrpbDNLZ3Uu0R9Iorrki29vwZ0fE//PDDyxovLZH973//C8BNN92UwrTkVqdlUyTKiLQX4OaEltZnoaVR2qNxXdDv84MPPqjxXO1pX8tLtZ2FXk6gvZdqKZ+Wv2qv5Ouvvz6QKytrTLTkNjJnzpxkl0ICqmW7Wq6qpdWRadOmZd6jMZYFNHeJ9dtvv53sMWPGJFsvK9Ee1LM4//zzM22NLs/1kp75Fb2LhP5+99prr2RHSaquS/TSnVJ4g//444+TfdxxxyX70UcfBeCYY45JYbo9VYpnV5JPPvkk2XqXg7vvvjvZBx54IABvvvlmCtPljrZ1+VYbWg7ct2/fZF9yySXJjkvIFl988RSm6xK9RK6poH9XXL4Sl/tA7retPXnrNqX2CB3fkZY5X3jhhcnWZdPUqVOrhev39sADDyS7LrsXFKp7tRRc7xrSFNF5Vdv1bf8siNgMsmEYhmEYhmEYhmFgHWTDMAzDMAzDMAzDACossY5SFoBhw4YBuXKTiy66KNnRSzDkbm4dPSxqz6la+jV27NhkP/XUU8k+6qijkh2lTNdee20Ka07e3aIEZO7cuZnHJ0yYkGz9G5944olkR3mk9hKrJcqFNqVvDPS70FKRZZZZJtlRmrTNNts0XsQU0Ttm9KZtlB8teb7uuuuAXC+l2lv4d999l2wt3dJyueiNWMuotCfNuki06kr8rrV306zjNRFlkR07dixdxOqAlgVGCpVJ9UVLGrMk3ZpCcsRSe7HW30V8T7q+ao6MHz8+2ausskqy33jjjRqvix5oIdeDr7a1x+CmKBltLHRdpXfhiB5747InyPX2vc466yRbL6eISxh0WafRO1FET9n5RDn1scceW/sPaIZo6axm3rx5yY47eWyxxRYprGfPnsnWS0WybB2mywG9pFDXU5r4nnU7eLHFFkt2U3wvum6K9Vf0xg2w4447Zl7Xr1+/ZMddNKDK27QuV7WMO2s5TUPQ8u4oDY9LDQD23XffzOv0+2yKaAn4brvtluxLL7002bosWXfddZP9pz/9Ccj1yK6XZzb3pRbFYjPIhmEYhmEYhmEYhkGFZ5C1U6y4N5fem07vmaZHQLKcveiRwY033jjT1o4n9AjqSSedBMBBBx2UwmpzwlNp7rvvvmTH0Z5i6Ny5c7L1/pZHHnkkULnZp5rQcdLO1bbbbrtkb7vtto0aJ6PyaGdLcTZRfyt6T2Q92quVB3p0vjb0bLPeY1A78chCO1nR1+kyJmsPZu2AS4/eDhkyJNla2aFH5CtBY8wg632rayurtAMXjXbWWAq0A7gYp+bu8FGrjuriYFC/E23rmYpu3bolWzuLWpDRM8Hxu9WzWM8//3yytZOi22+/Pdkxb+h8qMsH3W7S6r0zzzwz2csvv3z9fkAzQe8Lr/eW146LogpCq+10u6mc7LHHHjn/NzeiQ9XJkyensMceeyzZekZdKwMXWWSRRohdNtpxXnTqpcs8/Z3oPklzmkXVzhD1ntK77rprjdfFvhE0r99bKmwG2TAMwzAMwzAMwzCwDrJhGIZhGIZhGIZhABWWWGehJT4DBgwo23P0fqNxbzYt32vq6L2B46J7LTnVex9reZDeT7GSspb6oh23GQs2WvIT5XBaVq33XyyEdpay3HLLAbl72BZy6lJqojOwGTNmpLCZM2cmW8t4l1hiiWTrJSmllg7XlSyJdV32CS0GLdnWzqOyeOuttzLD9bKbUqCdyTR351yRTp06JVsvLSgFuo7XUkzDE+X5++yzTwrTtlF/dHmuy9eJEycmu127dkDjyarnR3TbspCTq6aCXpoUlzLoeljLkJtr+a7bBqNHj072/fffn2ztPPHQQw8F4LLLLit/5JowNoNsGIZhGIZhGIZhGFgH2TAMwzAMwzAMwzCAJiixrgRx3zUtrWzqRDkowMCBAysYE8OoPFEGpZdOaE+82gu03gdZey+N9ueff57C9J7I5SR60/7DH/6QwrSEeNVVV022loR16NChEWJXHFnys08++aSkz9CS7SxJt0a/Ry2lX2uttUoaJ+3FXHtIb87o723EiBElvbeWvpuM1agUehlar169KhgTo6mwIOyGouXvcWlXPieeeGLR9/v++++T3aZNm/pHrAliM8iGYRiGYRiGYRiGgXWQDcMwDMMwDMMwDAMwibVhGPMRCy1UNebXs2fPTNsoD1Euu+yyy6aw8ePHl/QZWmKtvXln0b59+2RrL57RS3Cp0DsD6Gc2Z7Tk9I477kj2DTfckOwjjzyy6PtNnTo12dpz9c0331zfKBqGYRgNoFBdOHz4cABWW221FPbRRx8lW++eoT1hx6Vs+rrmjM0gG4ZhGIZhGIZhGAbWQTYMwzAMwzAMwzAMwCTWhmEYRgnR8tyxY8c2+H7aS/S3336b7NrkzOeee26yl1xyyQbHoxBnnXVW2e5dKY444ohkv/zyy8k+6qijkj1y5Mhq52vP688//3yy//GPfyRbv7c999yzRDE2DMMw6sJBBx2U7AcffDDZRx99NADHH398Cvv111+T3apVq2Tr+nn33XcH4Nhjj01hPXr0SLZeFqVtXSf88MMPALz77rspTO9Csvbaayd74403LvDLSoPNIBuGYRiGYRiGYRgG1kE2DMMwDMMwDMMwDMAk1oZhGEYJ0bKna6+9tsH3057J+/fvn+x+/frVeN2uu+7a4GcvqLRoUdU0eOSRR5J9ySWXJHvQoEHJvueee2q8X9++fZOtPVeXU/puGIZhFEZ7sX788ceTPWzYMADGjBmTwpZZZplk77bbbsl+4403kn3RRRcBuUt0Ss2AAQOSbRJrwzAMwzAMwzAMw2gEbAbZMAzDKBmnnHJKsvVob30RkWTffvvtDb6fUTd0+p966qnJ1o5Yhg4dCsDHH3+cwjbddNNka0ct+n6GYRhG5WnZsmWyt99++5z/a0LPJkd7+vTpKWzmzJnJnjNnTrK/+eabTDs6AFtjjTVSWPfu3ZO9/PLL1xqnUmEzyIZhGIZhGIZhGIaBdZANwzAMwzAMwzAMAzCJtWEYhlFCtFSrMeVQRuPSunXrZGuZnWEYhrHg0q1bt0y7uWEzyIZhGIZhGIZhGIaBdZANwzAMwzAMwzAMAwBxzhV/ssgXwIfli858y0rOuaUaehNL/3pTkvQHewcNwPJAZbE8UHksD1QWywOVx/JAZbH0rzz2DipL0elfpw6yYRiGYRiGYRiGYcyvmMTaMAzDMAzDMAzDMLAOsmEYhmEYhmEYhmEAFe4gi8gRInJwRnhXEZnawHuLiLwsIouLyAoi8oqIvC0ib4nI8eq8B0RkYvg3Q0QmqmPricgb4ZopItIqhL8oIh0aEj/DMIqjFOVBDff+rhz3bQgisruInBXsLURkvIj8KiJ7q3NWCuETQ/l0hDo2TETeVeXa0iH8GBE5tAzxLdv7CfdfTkQeDnYPEdmpiGu2EpGnCxzbQERuDXb3UMb/JCIDM85dWEQm6HuJyLYq7V8TkdVCeFnS1zAMwzCMxqWiHWTn3I3OuTsbeh8RydrPeSdgknNuLvArcLJzbi1gE+BoEVkrxGE/51wP51wP4BHgUXXPu4EjnHNrA1sBv4R73wUc1dB415fQke8U7CbXwI+IyD9KdJ8rRWSLYN8TGv9TReQ2EVkk79zeGZ2J31Rn4UkVfr+IrF6KOKp71vg+amq4Fzi/v4gsV4J4FdPp2lql00QR+VFEdg/HREQuEJHpIvKOiBwXwncRkXMbGr/mSIFypxT3OAW4PtgfAf2Be/PO+R+waSi3NgZOy/tODozlmnPu8xB2G3BsQ+Pc2DjnPnHOxe+0B75sbwj/AK4O9lfAccC/C5x7PPBOXtgNhPTFv5czQ3iTTl9db5Tp/v1F5NoCx3T5c1IYrJ4sIi+JyErqvBVF5IVQxrwtIl1D+DEi8h8Rcfo3NNXyp9yDRqVCRE6QMEkhIvuEwbbfRaSXOmcjVSdMEpE9QnhLERleinKwoYjIceGbuUdEdhWR0+p4fVEDb3W436CsAbeM84pJ/47iJ3i+y89f0siDoeWgXHlFRBYTkVdFZGEVtriIzIrpKCLt8to8s0XkynCs2aRhXdH5pR7XbiUim9VwvJi2Zg+pmnycLCL7qWO3hnJmsog8LCJtQ3jjvw/nXMn+AW2AZ4BJwFRgvxA+A7gEmAKMAVYL4YOAgcHuGa6bBFwKTA3hC4e/xwKTgb+F8K2AEcCTwPSMuNwLbFUgnk8A2+WFCTATWD38vRNwd4HrO8T4leNfiMtCNRyfAXQK9nelum8ZfkfRcVPXLJz3d0dglPp7p/A7BLgPOFJfC7wMPAvsXVs8gC2BmxvzN4fv9uk63G8Y0KuOcWiREfa6+ma6AusBd+p0yjt/SXznoXX4e0A4f6Hw99Lqm5oQzyvTd9QV30m5GXgLeAFYLBw7PJQNk/ADXDG+g/EdmVHAf0O63xbuM1i/L+CKcN+XgKXy0x3oBMwIdn98mfMy8Cp+kPF6YBowVH97+DLtVeBNYAjQWd37SmAcfuBO/9ZuwCsZaTC4hnfVEd+RXq62bwZ4DNioEd9Pj/AOJodndwjhxwFvh/D7Q9gg/ODjG8B7wOHq/lOBluF3fgFMBPYDNgrnT8B/42vUlM+AdsC7GeGDCHWRCusSvolt9L2Ad4GNg306cGE507eE72kGoQwo0/37A9cWOKbLn62pyqdHAg+o84YR6magrTpvg/Ad5PwGGqH8aUCeKFsboURxbBHyX4vw95rAGvnlB9BandMZ+Fz9fTZ+sKjSv2Ua0KW231vDsZq+3YLX1XC/auVJA9K/DdAHOCI/jvnn5r2zCZV+L0WmVVnyCnA0cHxe2FX4vkGhd/0msEVzS8N6pE2t+aWGa2v8timirYlv58S+1nL4Af8lwt+Lq/MuB06r1Pso9QzyDsAnzrn1nXPrAM+rY3Occ+sC1+Ibh/ncDhzrnFs/L/wv4dreQG/gcBFZORzbEJ8BumXcb3P8x55DGJHeABidd6gv8Jlz7r3wdzfAiciQMAJySjzROfc1sKiIdMx4br0Io2jvisid+MbgCiJygHhp91QRubiIe/xdRMaGkZdzCt0375reIvJ6GLEZE0bUWonI7eHZE0Rka3WvESE9xsdRJBHpHEaSJ4a49hWRi4DFQtg94bw/h2dMFJGb4sheGBm9TEQmAZvm/ay9UN+Rc+5ZF8APtnRR5x6L7yR9TnGMAPqVYwRcPJeG9JiiR8iAxUXkmfBebhSRhcRLOQer808MI269gHtCmi0mIj3DqOib4dvsHJ43TPxM+zj8rJeOSzfgJ+fcbADn3Azn3GTg9xp+wt7Ac865H8LfRwLnOud+D/f4PPzv8JX0Lg1MstpYHbjOeTXHN/jvAuBR51zvUG68gy8vIh3w39OJ+E7tFcDawLoi0iOc0wYYF+77Kr7BVxsb4gv7LYE98ZXAWsBB4XmIVzZcE87rie+cX6Du0dI518s5d1nevTcHxhcRB8QvHZmMH9i72Dn3iTp8e/hm/ikiosLH4cu6UlPo/dwJnOqcWw8/QBrT9zRggxB+hLrPevgO6abAWaJmxZ1zPwNn4TtUPZxzD+Ar+r7OuQ3CsQtriWcvfDlYDFfiZ/Pz88lhwLMiMgv/zi9Sx8qVvkUjIm1C+TIplCe67Dk2lN1TRKR7OH9JEXk81BujxC8tWkj8jPMS6r7vicgyIrKUiDwS6pqxIrJ5LfHJL39eUeXKKEIZLl7V1cI5NzSc9108zzk3wTk3I//ejVj+1IcW4mc03wkzIa0BROSskG5TReT/Yv4MZfjFoY6cLiJ9Q3ihenercM3DIjItPEtqekYe2wDjnXO/Ajjn3nHOvZt/knPuh3gO0ArQW588DhxYmuSqHyJyI7AK8FyoN5OSIdSpN4rIaOCSkDduC2k8QUR2E5GWwLnAfqHM3E/8DPBdIjISuEvy1BEi8rSIbBXsHcJ7mSQiL2XE73AReU5EFss7VGz6f++cew34sdg0CflmhohsVOw1FaZQXtFqyV4iMizYW0rVrO8EEWmXcc8D8ZNhhGt6AsvgB3CrEcqppfHtwuaYhkWRkV+qlf/hvKx6oSu+vj4xpH3fvHsX1dZ0zk2Pfa3QbvkcWCr8PTfcS4DFCOVNJd5HqTvIU4DtQiHf1zk3Rx27T/2f0wkKlfASzrnhIegudXh74GDxa4NH42dLoix2jHPugwJxWdI5923ec9riO1AnxJegOEDFEfzoXh98JusD7CEi26rjn+NHPkrJ6sD1oZH5C3AxvhDtAfSWIHfNQkS2D9dvFM7vKUGWrO/rnPtQXdMSeAA/yLA+0A+Yhx95c2FA4wDgDvHrrz/Hj+5viJ+9iTLFPwFDnJccrg9MdM6dBswLDdkDRWTNcM3m4bzfqKpY2wCjw8DKa3k/rdBAxyL4xunz4e/lgT3ws4b5tBKRcSGTpzQMnb3/hDiXmj3x7yGm66USOrP4d3QsvlO1qjp3eefcOiHdb3fOPYxvcEc556+UudOl2J/c/LAqvgExLlT2WpreGJ2CD5xz0T/Am/hOKcA6ofE4Bf89ra2ueSo0oKfgB7+mhHf+lrr+d3weAL+kok8RcRnqnPsq2H2Ah5xzvzvnPgVeCeFrAOsAQ0PZdSa5gzkPkE1n/AxprTjnZoYO5mrAISKyTDh0YPiG+oZ/B6nLylFuQcb7EZH2+HL91RB+BxDLpMn4gZ8/47/ryBPOuXmhgn0Fn1dqoj3wkHiJXhwAqYmi0ldEdgE+d85VK3vwAy47Oee64Ad2L1fHypW+daGmgerZofy+AYgS0HPwI/Pr4eXnd4Z88gS+TEVENgY+dM59hp+FuSIMWu8F3FJLfGoqf/4CPBfsbsA3IvJoaPReKkoeWQMVH5QowBr4endNYC5Vy7KuDYN66+AbgLpz38I5txFwAlWDSYXqXfCD/Sfg65JV8Gld2zMimXVrFiKysYi8hS9Lj1Ad5qn4iYuK4Zw7AvgE2No5d0XGKV2AzZxzJwFnAC+HNN4ar05chOoDb+DTtJ9z7oBCzxaRpfDKmb1CG2qfvOPH4NN+d+fcvLzLi07/WmjswdByUCivFGIgcHRoF/XFt1sToW27ShxUE5GFgMuoKvOy2B//DegBoOaUhkWRkV+qlf/h1Kx6YQZwI7787+GcG5F3+zq3NUOHtyXwvgq7HfgU6I5v80Ya9X2UtIPsnJuOn12ZApwvQYceDxewa0PwM8txPd3Kzrk4AvR9Ddf9GjKFv4nvUD0C3OOcezTnAX4GcU9yG62zgOHOudlh5OLZ8NsircjLlCXgQ+fcqGD3BoY5574IldE9VDUus9g+/JuA/0C7UzWQoO+rWQP4n3NuLPiRm/CsPvjOAs65afjNyLvhK5KbQ2fkIXwFAl7iOkBEBgHr5g9MBLbFS07Hhg7DtvgKHXxn+ZECv6tQg/Z6/PuJGfRK/ExV1qzoSs65XviO/JUisqo6Vq4GbR/gPufcb6FR+SpVDYkxzrn/Oud+w3dC++BlwKuIyDUisgO+ksin7J0u8IoAYF28LDiyKPBjSMeb8Z3zSGN0Cn5S9m/4ASzw0uNjQofwHHy+zL/m97zrf1fX5xPLpl+pKh9b5Z1TU7kTEeAtVW6t65zbvoh7zMt4Xo2EEdiphIrDOfdx+P9bvJxMdzLLUW5B4fdTiJ2B6/Bl6lipUnHk1w211RXn4SXp6wB/pPa0KzZ9Nwd2FZEZwP3ANiJyd2gQr++ciwqkBwC9Hqtc6VsXahqojnWfHmTqQxiUds69DHQUkcXxvy3OPu9PVfnSD7g2lEFP4hUxbWuIT2b5EwZHeuE7KeC/mb74RmxvfP3Qv4jf2xQGJbKY6ZwbGWw9+La1iIwO9eg25A7qZL2fQvUu+LpkVqj3JqpranpGpC6DcaPDwH1v4PQwYE6ow34uMIPXVHgoxBN8G+m08O0Ow8VS9r8AACAASURBVOfXFQtc92RGpzafTfDtkA8A1MApwMHAjvgB7Z8yrq1TvVyASgyGloNCeaUQI4HLxftCWUIN2EQ64ZVMkaOAZ51zs2q4Z/6kADSvNKwvhcr/QuE1UZ+25l3AAN12d84NwKf7O1TVQdDI76OkHWTxcrgfnHN34ys93aHcT/3/hr7OOfcNfuQ4Zgot2RkCHBk6uIhINxFpU0R03iV0wMKo2q3AO865yzPO7QdMy8s8Q/BSzNah8bYlfs1cvN+y+PVQpaSYhnchBPiXapCv5py7tQT31ZwIfIafFe2FH/XB+Zn/LYCPgcGS4Zk8xO8OFb81nHODwrEfVQWWT7UGrYicjZdjnKSCewH3hwbt3sD1cbZYdRj+i68UN1DXVaJBW60T4Lxsf318/I4ge1amsTpd+wKPOed+UWGzqGq8PYaXwkYq2SloB/wvlA/1kfothP9ewA+gRAXDDPyADup4FiOBvcRLUpfBr30FX/4sJSJJci0itc1ugq8QVqvtJBHpIkGyJ96jfh/gXRFpIVWStEXwsxdaUtyN4iXGDSJ0zL5WMqyDgFfDwOUKzrlXgFPxs8Cxg7Wb+CUeHfFpOTbvtt/i33mkPb7cgeI6U0Wlr3PudOdcF+dcV3zD6WXn3J+Br4H2QUoGsB25TrwaLX0LUctAdWyoFzOI8QawWhgU2J2q/L8QsIkqh5Z3ztXknDCrDO+Hn83bVXUeZuHVR/8NDd7HyW1DFKIpDEpkUa2cDx3L6/GdpnXxg41Zg3r6/WTWu3nnp2uKeEakPoNx7+D9NqyjghelDvLfCqDrRcHP9sZvd8Xwm2q7Tg+YQnHpNgU/YNGlwPE6p38+FRoMLQeFBkYzB6qdcxfhl7osBoyUsFxEkZ+2mwLHhPbhv/Gq1LQ0RkTWx6s38mf0m1MaNgWK/qZDZ/sZ4IysCbzQJ7ifquVa0Mjvo9QS63WBMWF07mzgfHWsg/j1csfjC/x8BgDXhWu1TOQWfMd0fJDR3UTtFTv4hN8q2JvjG2fbSNW6Be2xsNrIUeiwXI5voE3ErxV5JhzuiXcclT9qVUrGAFuKSKcgMzsAPwtZiCHAoVLl8W15CR4Na+BdoLOI9A7XtAuDASMInY3QEFwxnNseP+P8Oz494xrilfAS1pvx7ys2an6RKi/TLwF7S5WXxSVFeS+tgZwGrYgcBvwBOCBvxGll51zX0KB9GDjKOfe4iHQQkUXDtZ3w38Lb6v7latCOwEuSFw4NzC3w7xRgIxFZOXQU9gNeC3FbyDn3CH5mOKah7hCUtdOlyF9uAL6xunWwtwSmq2OV7BT8E7/0YiR+PWpd+R7/PqbiZ1qiR9x/4wfmJuBHowvxCL5h/zZ+5Hs83mfCz/iO9cXi19ZPJHemsRDDgQ2iVE68j4BZeOneTeJljuAduowO934V+Ldzbgq+sToklLUT8Z3Hm9X9N8c7E2ssDsEvL5iMX0ZwLr7cuDvMbk0Arg6DpOCl16/g16ae53LXVROOrRXK8P3wzh//Fd5TrfVCUMS0jzNeIrJsSN+TgDPFezgtOEoeyvzDgUdC2h8E/F2d0tjpW41aBqqz0OX9VngZ9lznnMMPhl2OH1z+Mpz/Aspbt1St5y9Efhm+Ab4e39VVeVgHX9cuEcpL8PlRl9WFqPigRAFWjGU1VYNvsfE4O9TVNQ2+RTLr3Roo9hnFDsatHNoFsa7vTpgcCANZs/MGU5syQ/Dr8GP5GgfL8wfe8pkB9AgDoStQ1REdBWwhwS+OiCyprpkA/A14UrJ3oqhrvZxDUxoMLQFZeQVyB6pTR0lEVnV+ydTF+HIjp4Mc2u8LS5XS4cAwGNIVr1C50/llgJGsNg80rzSsL5nlfw3hNeWVYsuUlvi65U7nlxLGcJGqbRMF2JXcdl3jvg/XOB7TZlBG75kFntkZv1awHPe+Cti2xPfsSp4nP3ymnRI+iIuz0hPlNRk/+DAl/HsDv2602n3zntEbX8hPCv+3xVewt4f7TMCvVQAv2Z4czr04PhvfCJ4azh0BrBzCL8ZnmHvC3/vhG+2T8RKyTfJ/Q0b8+qK8ieNHFN8P95kInJVxzWCqPAlvFn7HpPD/X9R5y+AlaqV8jzFNhOCNPTw3enTfCt8Jegbf4b0RP1C1Pr5zFX/XjuH8vcJ5E/GjpT3C9ZPwa2mjp99hFPZc3DqcK+qdz8J3Dr/Ez0rr7/Bj8rydA0uEOMdva3117Gm8tL7R8ndT+ge0Df93DN/msg2831X4tW+ljucGwF2VTq8a4jeIWjy/lug5JwKHza/pix9AjAMkY6nyxj6DqnqjF34JD3iP9Y+Ha0YB66l79cLP5hyiwjrh5daT8R3YG0N4fzK8w2aUPy/iZ0RjWfekOne7cN8p+HK8ZQg/LpRZv+LXz92irmly5U8oR6fhB83eIdfD/vmhnBiJr2cHhfBUhpPrOb9QvbsVud7VrwX61/SMvDiuhJcHx7/3CGn8U3g/Q0L4QeH9TcTXUbura/YGLmsC6a2/7fQdkuf9H1+H3hS+r7di+oU8ECdD9iOvLMLX5/eEd/pYeFdbhWM74ts+kwhtTnJ3aPlDON4pL85Fpb/6fV/hZ+9n4WX2bfDtqMnht1yF2gUkvKuOlX43DcwrffGD8ePwg9bDQvg1+LbVZHzHdtGM+95KRj1KRjmFX+LWPePcZpGGDcwvmeV/DeHdqKpf+ubdt6i2JvBnvJ+liepfD3xbeCRV/Z57yPVq3ajvI/6IshJkDb1c8GzWWIjIvsDzrrpDrobe93DnZ0uNRkBEXgN2cVWzTKW674nAXFclRZ9vEZGr8E6rXizxfZcB7nXObVvryfMp4j1rLoGXPl7inBvcwPstg99G6MlaT67bfbcD3nMZ3oCbAuJ9GHznnCu0J3GpntMK2Mc5d1etJ9ftvk06fSuJlT9NExF5DDjFVe3eUdfrH8VvwzK91pONajQ0/Wu47wbASc65g2o9eT5FRDYETqxvGlga1o8ylvWN/j4apYNsGA1BvAfVec67iy/lfQfgZ3zKKZVvEpSx09Ub+MVVeTA2DMPIwcqfpomIrAEs46p2EKnLtS2B/Z1zd9Z6spFJQ9K/lvvaYB0gIofifd8U8nFT07WWhvVgfhrgtw6yYRiGYRiGYRiGYVCcs6tEp06dXNeuXcsUlfmXGTNmMHv2bKn9zJqx9K8fpUp/sHdQXywPVBbLA5XH8kBlsTxQeSwPVBZL/8rz5ptvznbOLVX7mTVj76B+1CUP1KmD3LVrV8aNG1e/WC3A9OrVqyT3sfSvH6VKf7B3UF8sD1QWywOVx/JAZbE8UHksD1QWS//KIyIfluI+9g7qR13yQJ06yIZhGIZRbr7/vmoL0jZtat/2ft48vzXi3XffncIGDBiQ7BYtrKozDKN4Pv7442Tfe++9yf7997S7ZE7Z1LKl3566R4+qXc822khvS2yUkzFj/C6aEydWuSPQ9cjPP/+c7Pbt2yd75ZVXrmbrmdn4Xo0Fj1Lvg2wYhmEYhmEYhmEYzRLrIBuGYRiGYRiGYRgGJrE2DMMwmghRIn300UensC+//DLZhaTSI0eOBOCvf/1rCuvdu3eytezRMAyjNm655ZZkDxo0qF73OOSQQ5J9ySWXJHvppZeud7wWdKZNm5bsAw44INlaWt1QRKp8OOm6Y+DAgcneb7/9kr3wwguX7NlG08FmkA3DMAzDMAzDMAwDm0E2DMMwmgizZ88GYO7cuSlMO1cpNIP822+/FRVmGM2dOXPmJFs7jKqNhRaqmg/RToqMXGbOnAnAlVdemcL69euX7Oeffz7ZupyK5c2NN96Ywi644IJkP/HEE5nh2pngYost1qC4z6988sknyd56662T/emnn9brfssss0yyN91002T36dMHgF9//TWFPfjgg8k+8MADk3322Wcn+9lnn0326quvXq84GU0Pm0E2DMMwDMMwDMMwDKyDbBiGYRiGYRiGYRiASawNw1jA0JLdt956K9nrrbceYA435necc8nec889k33yyScDVTI7w2gspk6dmuzhw4fn/A/w6quvJru+slLNSiutlOxddtkl2X/84x8B2GqrrVLYoosu2uDnNXW0VF071orcdtttydb1Q4cOHaqdu+KKKya7S5cuydbpqJ0QnnHGGcmOzgbXWmutouPeXPnoo4+SPXTo0GTH/Yzj/5CbP7T8WafvNttsA+RKnLUzNC2H18978sknkz127FgAZs2alcJOPfXUZD/33HPJvv3225Ndl6UORvPBZpANwzAMwzAMwzAMA+sgG4ZhGIZhGIZhGAZgEmvDMOZT7rzzzmT/9NNPydZeKV988cVk9+3bF4AhQ4akMPMqOv8xb968ZD/++OPJ3nLLLQGTWBvl4/XXX0/26aefnmwtp45oqeiOO+6Y7DXWWKNez9ZLCyZMmJDsuPc4wHXXXQdAu3btUthf/vKXZOt9YJdffvl6xaMpoj1Mv/LKKwDcddddKaxVq1bJfvrpp5O9ww47JDvK4LVX6s022yzZr732WrKvueaaZB977LHJfumll4D5S2IdvYJDrlz5gQceSLaWKEcP0xtttFEK+9///pfs7t27J1vX1XVZCqC/Y+2N+txzzwVyd0DQknqdD7VtzJ/YDLJhGIZhGIZhGIZhYB1kwzAMwzAMwzAMwwCauMT6gw8+SPYbb7yR7O+++y7ZP/74IwAiksK09GG11VYrZxQNo1mhZXZa1tTcPTdHL5fHHXdcChsxYkSytefLQkQPojvvvHMK0x5N11lnnQbHsxBt2rQBoGXLlrWeq2XfHTt2TPa4ceOAXFnfgsIvv/xSLaxFiyZdvRnzMe+//36yTzzxxGQ/9dRTydbejm+66aZkR0/SnTt3LmcUEzrvRKm3lr/ecMMNydaeewcPHpzs3XffvYwxLD9ff/11tbB+/fol+5Zbbkm2luQutFDVHNNyyy0H5Naryy67bLK1TFt7z7/00kuTPXHixDrHvalz/vnnJ1svafnHP/6RbC3j79q1a7V76Db9qFGjkq29ix9++OFAceX+V199lWz9rW+88cZA828P1YReXqHzrV7mob3cL8jYDLJhGIZhGIZhGIZhYB1kwzAMwzAMwzAMwwAqLLGeNm1asqP3RC1B+vDDDxv8jB49eiR7r732SvY+++yT7Pp6hWwqRPmo9tQbJZuGoWXVW2yxRbK1V80ll1wSgBVWWCGFRckY5ErF1l133WRrb6dRjrzIIouUItp14pNPPgGqPJDWxCabbJLs0047LdmzZ88GqqRaxd6vkmjZXlxu8sgjj6QwLeVrDuilMhHtUbQQM2bMqBamJayamE75FCNvN4yaeP755wE44IADUpiWfF5++eXJPuqoo5JdFw+8pUaX19tuu23O/wBnnXVWsg888MBk77HHHsk+88wzk33eeeeVJZ7lJCvva+m5bovGuhLgs88+yzwn8uijjyZbe2Veeumlk63bqFr+Or8wffr0ZGsP1HX5Tgp5/dZ56Prrrwdyv8VVV1012XPnzk328ccfn+xZs2Yl++abby46Ts0J3Qbcf//9k629g1944YXJjjs96CUEPXv2TLb+lvX3W8lyrBzYDLJhGIZhGIZhGIZhYB1kwzAMwzAMwzAMwwAaSWKtN/PWEqMXXngh2W3btgWqPDhCrlSib9++ydbylCgB0LK5xx57LNkPPfRQsrX3wX/+85/JjpJRLcHWUqKm6Alby0KibPbLL79MYSeddFKy9e825j+itH7YsGEpTHuL1MsWPv7448x7bLjhhgAsvvjiKUzLx955551ka0+mmpi333777WKjXjK0N8ssOnXqlOxbb7012WuttVa1c7V8aPz48cn+4Ycfkq0lS9GrvvZeqs/VUr05c+Yk+7///W+y43v54osvUpheMqHv8f333ydbl3tRntycvTdvsMEG1cKee+65ZO+7776Z18W0XGKJJVJYhw4dMs/VHoY1K6+8ctHxNIyI9ogbpdXdunVLYbo9opetNBe6dOmS7JdeeinZuo2hPRVHz/onnHBCI8SuNGQtC/r555+TrcudVVZZJdmnnnpqsmPZo78HvSNC3GUg/xwtUY1tYr3rQnMuzyG3Xa3l0VOmTEm2XraVhW6D6/pA2/F71BLiQuglY7ofMr/uAPHMM88kW0ve9Xev24nt27cHcvPAHXfckXlvvTwh1t/9+/dPYdrWS8KaAzaDbBiGYRiGYRiGYRiUeAZ55syZydYjRU888USy9Sj9ZZddluxDDz0UyJ0BqAtxxAPgiCOOyLSjEx7IHdV9+OGHAbjgggtS2EUXXZRsPet95JFH1it+pUbPEMb9onfYYYcUNmjQoGRrhxt9+vQpf+SMkvH5558nu9CscBzVj44VIFdlsf322ydbqzn0rOrQoUOLjpPeN1CP1h5zzDFF36MU6FncONutR9t79+6d7M033zzZkyZNSvbAgQOTHWeL9cx5OdHvaO211wZy46wdoOm9j/Usvw7fddddgVzHJM2NqBTSM3AXX3xxsrXTMf2uYxmoZ3cK8d5772WGr7766nWLbBNAKxWuvvpqILe+1TMzWkm0/PLLN0LsFgx0W+Kbb74BclUqpZg11o7qKrlHq85zV111VbK18iXOquqZo/q26xqLrBnkJ598Mtl6L+ttttkm2bpujejfrZ1LFdpbVufRqAjSDmzXWWedmqLe5Dn44IOTrfc+1uWRdmZWF/T+yPFdTJ06NYVpJ1Qa/Q4XBOeMug7V6DblTjvtVOM9tEJ19OjRyR4zZkyyX3zxRSC3n6T7Ito5mj6nqZYPNoNsGIZhGIZhGIZhGFgH2TAMwzAMwzAMwzCAEkms4x6U2tmAlj9qmYmeVm9sqZCWlOq9TqOtZUJ/+9vfkq33WtNyAi2j0vuFNQZ6L9dIIWcOeh/Dl19+uWxxMgrz/+ydd5gUxdrFz2sAwRwQRRQEI4oggoqKAibMCcWAmD4TKka8qNeA4XoBw1URFQMqiF4xIqhgIImigkTBLGKOGBCvotb3R1fVnllmdmd2Z3d2Z8/veXg4W9PT09PTXaHr1PtyAKdgBwWAt99+O+pgDeJAKJMnT46aA3c0b9486nD9HnLIIbGMczWG/MRA6jXOOmzPue5YhyBeQElQqtJ07NgxbXlVwfagEKCMg3nw/c7BPG644Yao2d4W8npyoCgO9MR2Zg42EQIMsk2Pl3xw3cC26vA+UUIINHbzzTfHMg50M3DgwKjZrhfaoFwt1myv43uqtnDHHXdEfckllwBIzXXOyyE4YCUvG8pUb4jsaNiwYVZlucKBRG+//faouY7j4ITlWXHvuuuuqNkWznVg//79AWR3/JyznINVPfLIIwBKckID2QVOKiS89CxoDkLGwWP5/HOfNzBr1qycPpsDNwY4KGZtt1jzkiDOtcvLMLkeq+gyxjCeaNOmTSxjXdeYMmVK1K+88krUmZbflUcIvgek2rFZBzv1tGnTYhnbuy+77LKoeRnraaedFnVY9ta4ceOsj62q0AyyEEIIIYQQQggBDZCFEEIIIYQQQggAebJYDx06FEBqFN1333036tpiXWvUqFHUHFWPLQL9+vWLmi2Vwb7EtqOqpH379lHvtddeAIAxY8ak3fa1116LmqMis9VC5A5f73feeSeA1AjJnOePLVP8PiZYcdnOzDa7EKUYSI1U/OijjwJItdJPnTo16kwRAjnaZoiYzHl/Bw8eHDXn3q0psJ02RKnmc8sRLDfZZJOo+TwdeeSRUVfXvSvKh21bfJ1effXVUR944IFRh5zRbIPPxIQJE6Lebrvtoq6N+UY5V3aAl2h88cUXUfN5DFkjShPuE7aObrjhhlFzXcJLBEL9wWVsreQlB2zfXXXVVaMOEXw52wQvA+HotPXr14+aIwwXok3jnKoBjoSfje2fCXUt21F79uwZdajvgZK+F1ASxTwTHIWWsxmwDn0a/uxs4Kjzga+++iqnfRQSvm5C34/zP7OVPddzE+D2qE+fPlGHLCoAsOOOOwIo3ny8Z511VtRcD/P5CHU411cid66//vq05ZyXuqqipfMSUF7Owf3gQYMGRc11V7jXeElI9+7d83ZsuaAZZCGEEEIIIYQQAhogCyGEEEIIIYQQACphseaIuvfffz+A1GiYtcVWnQ0coZGjEXMU1WAhY9tAdfH0008DSI1Aevjhh0fNFh6OHPjQQw9FXVvshWwZnDRpUtTBtsc25Kq2zL733ntRB+v9RhttFMs4OihHC9xmm23S6q233hpAqn2Qo1hzZN/HH3886mDJ4+jLHDmelw5wNFG2NfF7A3/99VfU/F3ZbsYRoasbjlDJURpFccHXPdvy9txzz6h//vlnAKn3DsNLfrjeuPHGG/N2nIWgQ4cOy5UNGzYsas7WwNZrXnbDyypmzpyZ8j+QGpU3nGcgNfouZ62oDri9Spclg5emsNW7KuA6P8B28Fyj+4csAdzX+OGHH6IOVnQA2GqrrbLebzZtPEeqrauE9pL7Etzm8TIDXuoUNJdx5PgLL7wwau4//+c//4n67LPPBlD9GV6qC+6TjRgxIupjjjkm6pNOOglAqkWf7zHO/MGEzBJbbrllLOP7o1WrVlFnaieKgbDMjzN3MGG8BqRGD//ggw+iDktm8r1kJfRxgdR7iuvrkHWFl7/16tUraq7vq7pu1wyyEEIIIYQQQggBDZCFEEIIIYQQQggAlbBYcxL4EJ3vlFNOqfwR1XAuueSSqD/99NOog03mn//8ZyzjyJ1VSbAXd+vWLZaxhY5t3+edd17UHCE0JO0OURQLAdt42ULMEcWnT59e5j74e3MkvaqALb7poslmw8cffxx1SLI+cuTIWMbXGNtdghULKLGfsIWI4YTsIVI2kGp3SQfbvHjbEDUdSLVYsyVbiHzBlkZecnDAAQdEHSIfs5X6qKOOinrOnDlRr7feelGzdas2svfee0cdIrmfdtppsYxtbMcdd1zUXDeyvZHrlVxYunQpgBJ7cGm9ePHiqDkiPm8TotfykhD+rbic60VeAhXqI64r+/btm8tXyRmO4BzOK0c6Zqtu48aNy91f2Ibt8ffcc0/U3Eb36NEj6+Ps2rVr1HxPsWV7v/32y3p/xc5FF10U9Ztvvhk1X2+50KVLl6h5GUSzZs0qtL/aDmcc4GWAIYMB97UZ7lezZTtksMjUF+P3XXbZZVGfe+65UderVy+rY6/JhH5kJtiuzrZqbktCvzQs3wRS67F8s+mmm0YdllFdc801sey6666L+tVXX436wQcfjDrXpSzZoBlkIYQQQgghhBAClZhB5pmvQCFnHwsB52kLi905iMyhhx5arcfDOeY4KNTnn38eNQfmuuCCC6LeaaedAKQ+5eQnzpx3mZ/k5wLnqH3hhReiDjPEHNiEZzp32223qDmgBQe4Ck+/eBa6qmeQc4FnvvlpGD+hC09D+Sk+Byg66KCDos7lSScHteAAIiGoRa5kyusZcurxtSJEPuF81uwWCTONnFf3ww8/jJpnD9j1wDOUtZ3g6uLgN5zLnAM0ZiLkwuQc0/xkPl1AKmbttddOW87nn2d4OPhUmBng341nOn/88ceouU1btGhR1CEP8x577FHmcVYVt99+O4DUdpTbYu4fcFDNdHCO41tuuSXqbHJ9p4PrZc7Jy06hkAdZlPSJAGDhwoVR84w794PDbBy3tzwLyk6NujprnAnu+02cOBFAav51vl45dz0HnArnlH8rzrs7fPjwqC+++OKo77777qhD/zLMYtcWOKjiU089BaAk2BWQOvu77777Rs25vjlAX3DoTJs2LZaxi4LPO5+rkLv4jz/+iGXsLMym7gr1Ec+EcwBodkLx2IDzw4cAkvy9K9LWawZZCCGEEEIIIYSABshCCCGEEEIIIQSASliseVF1gO0mmaxWxUQIDMOwjbi64UX2bJ/mIF3BfgGk/l733ntvyv8A0L9//6g5b18+YCtXsKOxBZDt6ZlysbEVL8ABYArBlClTomYr9bhx46Lm73PttddGHfL/sbUoH7B9iW3pFYVt2mxpnTt3bqX3LUS2BDstUJK38fjjj49lN910U7UfUyEJ5+OMM86IZZwfnK2fnB/0m2++iTosUWFLLwf5q244CA/nfGabJVuYw++fLq97ddCuXTsAwJgxY2IZWxrD60Dq9cmW7HR9p4raqjNR0eU1IvXccfDKoPl6ZIs1B6QTqXAg1mCx5eVyzz77bNS8lJADpYbAeBykkPsqvGyE98FBukLgR7YQs1W5psLBtkLdHpZ7AKn9NIYD9XKe9LCM7vrrr49lXBdzrmk+V6He5SCFzZs3j5qDbOYC1+czZsyImu3dvIRh2bJlAEos30DqdZEtmkEWQgghhBBCCCGgAbIQQgghhBBCCAGgEhbrzTfffLkynj5nK1ExwdHZ2MbcunVrAMCRRx5Z7ceUDrbFvf7661FzblDOrRjyX3IeTLaLcx7RX375pULHxNEy27ZtG3Uudvyff/45av4ua6yxBgDg8MMPr9CxVYT3338/6pADnC3WHCGQLYv/93//F3XIYZ1vOHJgiC4NpOaOrSgcYTxEvQVSrxEhROFhuzVnMOA6gfO6DhgwAEDqcgmOOs35jJmwtIXbx0xwBFluY0J7xFkSOBNBqGOBitnlqpNOnTpFzTb3008/Peojjjgial5WE5bElBflurrg5VVsyeSo4myBDXBU3LpE/fr1o2bbqizWqcyaNStqHjuE643v/e+//z7q0NcDUpc59unTB0DqsjW+384888yod99996g5OnPoP3IfjZcuNmnSpOwvVSB43JHLGISvTyZkAeC6+Lbbbos6LGkCgFatWkUdzjFHjJ46dWrU3H7wfcL3RqYllQFebtKvX7+ou3Xrtty2m222WZn7Kg/NIAshhBBCCCGEENAAWQghhBBCCCGEAFAJi/UWW2wRdYgOx9Pd2UyZ81R5iECWacq/pnDrrbdG/e6770b98ssvA6g5x89R2TZOCAAAIABJREFUop9//vmo2Zbcq1evqMP34uh+Rx99dNQ77bRTlRxnJtjGzREOL7/88qjZ7hUsXo0bN66Go0vgJPTB+j106NBYxtEP69WrV23HBaRGNfzf//4XdT6iWDMcRfKZZ57J676FEJVjt912i/qwww6L+umnn46aoykH69wGG2wQy9gulw/YYs314rBhwwAAX3zxRdr3ffrpp3k9juqCl5tNmzYtarYETpw4MepgG83GYv35559HHaKYr7nmmrGM21G2evNSIOdc1By1NrDLLrtEzXbUTASb6rHHHlvutsUORw8udIaNQsE26PPOOy9qXvLB/dVgseYyrrs4Gj/XCSFyMUflv+aaa6IOy0eA1KVmzZo1izosH+MlamG/dYlQF2cDn+MQQZuzHLVv3z7q888/P2oel7D1OtRNO+64Y7mfvWjRorTlwZ7ftWvXcvdRFppBFkIIIYQQQgghoAGyEEIIIYQQQggBoBIWa04aPXLkSACplhq2wmaCo+EGCy9bt2sKX3/9ddRsJ+jevXvUXbp0qdZjyoVgvQKA0aNHRz18+PCoQ4S6k046KZb17ds3ao7kx4m/g84mEjXbvdieHKJ2ctknn3ySdh8cffDJJ5+Meocddij38/PNwQcfnFZXNyHiLF+nbF9ifvrpp6jHjBkTdbDz8e/IFj/WbH0K0duBEns5R5ysq5FMhahpPPjgg1EPHjw4ao5SHJbV5NtWzXC7869//SvqhQsXAki1XfOSFW6baiucyYHtoXvttVfU5fWBeClLee0O97H+/vvvqFdZZZWoOZp2OjhTwfTp06Pm62njjTeOOliy+bvWVbjvVVct1scdd1zUbO1nO3/v3r2jDn08Xhp21VVXRc1LNrlPGZY5jhs3Lpa9+OKLUXPWEe478m+0dOlSAMCJJ54Yy9iCLZbnn//853JlXNdw3fDAAw9Evc8++0TNUcyHDBkCIDUTD0cV33///aN+5JFH0h5TNuPPbNAMshBCCCGEEEIIAQ2QhRBCCCGEEEIIAJWwWDMh8iVbf9j6wBYuhq1UHO2vpnHJJZdE/ccff0R9ww03FOJwKgVH2WbLWtCvvfZaLLvzzjuj5uiVTz31VNS//fZbhY6DI21uvfXWAFJt3KEMADp06BB1p06dKvR5xQbfUyHaH1uSMhESuVcGtiSlu2/vv//+qC+88MJKf54QovLwfcsZJ6objqwdsg/URbi9u+eee6IOEcYPOeSQtO9jOzZbDMPSlh9++CGW8XKYXXfdNWqOEFtehoVzzz03ao5uy+3NHnvsUeY+6ip8z3GfuNjh/uL48eOjDkv5AODss89O+96w/IOttLy07rHHHoua7f/hfuH75vfff4+as7Y8+uijUY8YMWK5fYjKwUs7OOp4yPYCABtttFHU++67b9Rsww589tlnUX/55ZdRB1s9ALRo0SJqvnYqg2aQhRBCCCGEEEII5GkGOR1hVrm2EgKGAKkzYldccUXUxbh4v2PHjml1JkIu4myejnJgkCZNmlTg6ESAnQDhCR3nkuPfY6211op6jTXWiJqDhoRZB94Hz0Rk0l999VXUITBYded8FkKI2sbVV18d9ezZs6MOeYQvu+yyWMYutgYNGkTdo0ePqjxEAKm57rlf99FHH1X5Z9d2uJ+TKWdrMcL9Z4Zzf2ciOExeeumlWMbB6Div+EUXXRT1OeecAyB1dnjQoEFRc87wEIwQAPbbb79yj0lUHK4zMo0LTznllKhDXvYQuBkArr322qjZncDBogcOHFj5gy2FZpCFEEIIIYQQQghogCyEEEIIIYQQQgCoQot1bYcXkN97771Rc65nATRq1Cjlf1H9cHCCQhICzXCAhrrAhx9+CABo2bJlgY+k7hJyrnL+RSFqMpxzngMZ9enTBwBwzTXXxDIOJMTW7IMOOihqDnyZT9jqykFKRfk0b9486kmTJhXuQKqZTEF3v/nmm6g322yzMvfBwVkXLFgQ9aWXXho158rlvMoBtnRzQDsOFCgKz1FHHbWcXrJkSSwbNWpU1K1bt476gAMOiLq8fO4VoW71ZIUQQgghhBBCiAxogCyEEEIIIYQQQkAW64xw/kDOFyyESE9dslbPnz8/6m222QYA8O6778ayLbbYotqPqS4T7KU//fRTgY9EiNzhDA9Dhw4FkNrvOOuss6I+/vjjo+aMASEXMduuN9hgg7SfxzmMuS6bO3cuAGDevHmx7JNPPol6yy23jJrzI4v0bLLJJlFzFGVeClKM7eYOO+wQ9frrrx81RyueOnVq1Ouss06Z++NMHEOGDIm6d+/eUY8bNw4A0Llz57THIWoXnEP8nXfeKcgxFN+dKYQQQgghhBBCVAANkIUQQgghhBBCCMhiLYQQOdOqVauo58yZA0C26kISLHg//vhjgY9EiPzQsWPHqGfMmBH1zJkzo3766aejHj16NICSKNjZ0qBBg6jDcpGuXbvGsk6dOkXds2fPqHkZmkhPs2bNov7999+j/uqrr6Ju0qRJtR5TddC4ceOox44dGzXbnw899NCoOYo7Lzcoj2233TatFiIfaAZZCCGEEEIIIYSABshCCCGEEEIIIQQAWayFEKJScOJ6URjWXnttAMDixYsLfCRC5B8zi7pdu3Zpdf/+/QEAX3/9dSz79ddf0+5vpZVKun5NmzaNuhgjKhcSjr7M/Pzzz1EXo8Waad++fdSPPPJI1IcddljUvXr1Wm4bXYui0OgKFEIIIYQQQgghoAGyEEIIIYQQQggBQBZrIYQQtZx11lkHAPDOO+8U+EiEKCwcQVgUliVLlqQtD0tC6hoHHnhg1LfeemvUvXv3jnqvvfYCAJx22mnVd2BCpEEzyEIIIYQQQgghBDSDLIQQopbTr18/AKkBioQQopDsv//+UQ8bNixqzfIDZ555ZtSNGjWKmoN6CVFINIMshBBCCCGEEEJAA2QhhBBCCCGEEAKALNZCCCFqOdttt12hD0EIIVJYd911oz7xxBMLdyA1nO7duxf6EIRYDs0gCyGEEEIIIYQQ0ABZCCGEEEIIIYQAAJhzLvuNzb4F8EnVHU7R0sw516j8zcpG57/C5OX8A/oNKoHugcKie6Dw6B4oLLoHCo/ugcKi81949BsUlqzPf04DZCGEEEIIIYQQoliRxVoIIYQQQgghhIAGyEIIIYQQQgghBAANkIXIGjNb4v9vYmaPZbt9mvJDzawV/T3RzNrn70grhj+uK7ze3czeMrM/zaw7bdPFzGbRv/+Z2aH+tbPN7AMzc2a2Hr3nQDO7uvq/kRBCiLqGmZ1nZg2rcP/tzezWPO7vPDPr5fUgM3vHzOaY2ZNmtpYvX9nMHjCzuWa2wMwuofefb2Zvm9k8M3vYzFbx5Y+Y2eb5Ok4h6hJVPkA2s+ZmNq+qP8d/1kLumFO5mdnLZrYGla1oZjPNbAyV1foOfnWe78pQqkE40lfuf/NA0cx2pIHYbDM7zJfXM7PJZlaQPN7OuS+cc5VJ3HcogFblblX9XAxgiNeLAJwIYCRv4Jyb4Jxr65xrC6ArgKUAxvuXpwLYC8sHjhgL4KCq7LDUZMysgZlNMrMV/d8DfEdmnpn1oO2KvjNjZn185+6hHN5zopkNzmK7bB7wtDWz13x9M4fPP21zKz/c8u3Cydkeb3WRqb0rY/tLs9wu7YO9fJNNe21mG5vZBDOb73+zc0tte44fTLxtZgN9WY1sN9JRgd/w/nA9WxkPVs3sMTNrYWYNzWwsnaN/l9ruKDq3I0u9toaZfcb3npm9aGZr5/YtC8J5AKqsvXHOTXfO9cnHvvz1eDJK2toXAGzrnNsOwHsAwkD4SAD1nXOtAewA4HTf39sIQB8A7Z1z2wJYEcDR/j13IGnXqxwzW8vMelfHZ6X57JzqLG6TzayZbytm+fvgDNruOjP7tPT+/Xte8m3IRDNr6ssbmdnz+flWtZNS7fAFvn6Z489Xs1Lbpqtjevjt3zazAVRe7e1wjZlBDp3HKmJ/ALOdcz9T2bkAFpTaTh38aiBNgzAPwOEAJpfadB6SSr8tgG4A7jKzlZxzfwB4CcByndvqwOghhO+APOorgSfN7HVLHeRf5ztp08yssZntAuBgAIN8hdzSb3qkmb1hZu+ZWSf/3lXMbJglT4xnmlkXX54yYDCzMWbW2Vf291sy8JprZuf711ua2fNmNsPMppjZVmm+0xYAfnfOfQcAzrmFzrk5AP4u41R0B/Ccc26pf89M59zC0hu5JBLgRAAHZnmKaySVqKNOBvCEc+4vMzsAQDsAbQHsBOAiK3lwV22dmQLSG8Dezrnjstk4x8FMuQ94kDzQ6eWc2wZJnfIf8zM0/vPaAyg9ALgPwDk5HEdNJasBclWQ4+/I7fWfAC50zrUCsDOAs8y7b3x9eAiANv73vMG/v0a2G9WFmW0DYEXn3Ee+6Abn3FYAtgewq5nt57fbHMnga1d//s4rtatrsHybPBzJPVwjMLNV/QOA2b7d62FmfQA0ATDBzCb47Y7xbeK8Up3uJWZ2s++Mv2Rmy0W3teQB/jz/GZN9WWfzkyt+UPSC38c9ZvaJma3n+wkLzOxu/9p4M2uQ5mt0BfCWc+5PAHDOjQ8awDQATb12AFb191IDAH8ACH3alQA08K81BPCFL58CYK8c77+KshZyvDaq6bjSEdtkAF8C6Ojri50A9DOzJn67ZwDsmOb9NwB40D/EuBrA9QDgnPsWwJdmtmtVf4EaDLfDM5HUxdsBeAzAwFLbptQxZrYugEEA9vR10gZmtqd/udrb4eoaIK9kZg/5yuKxMNC05OnpADN7C8kAIW1H3swO8gOPmZY8wWzsy9f1lc7bZnYPAMvw+ccBeDr8YcnTngMA3MMbFVEHP9P5vsLM3vSV/VAzM18+0f8OpQdozf3v8Jb/t4sv7+zf85glT6Yfon2l/YxSlG4QFjjn3i29kXNuKTUUqyBpIAJPIfldC01vAIt9B+5yJE92A6sCmOaca4OkEjjVOfcqgNEA+vqZ2A/9tis553ZE0km50pedheTyaw3gGAAPmLdOZaAtgI2cc9v69wzz5UMBnOOc2wHARSipvJhdAbyV0zdPnlI/nOW20wF0ynH/1YaZPeXrnbfN7DQqX2JmN5rZbAAdfZ11vSUPN6abWTszG2dmHxo9eS4F1z+tAEx2zv3pnPsVwBwknXigejsz1Y6Z3QmgBYDnLLEEruPP+xxLHiBt57e7ysyGm9lUJB1y3scBlswAr1eqPKsHPM6595xz73v9BYBvADTy+1gRSeN8can3LAWw0MzSdZSqHEszCCj1egMze87MTvV/L3ctWzJz2MBftw/5sp6+zp9lZncZPQCyNIMGS2bfp1mJ9XNtX36qr/Nnm9nj1N7cb2Z3mtnrAAZWpL12zn3pnHvL61+QPNTeyG93JoB/O+d+969/4/+vce1GLr+hlXKBmdlFZnZVDh/H52+pc26C138gqePDgOtUALc75xb717+hz9wBQGOUuIMCo5G0RTWFbgC+cM618bOnzzvnbkUyQOzinOtiyWBnAJJ+R1sAHcwvC0LSRk/3nfFJKGl7mSsA7Ovb8YPTvH4lgJf9Ph4DsAm9tjmSc7wNgB8BHJHm/bsCmJHh+50M4DmvHwPwK5IB3SIkDz5+cM59jmTAtsi/9pNzbjwAOOf+BvABgDYZ9p9P/g2gpa9PBlnCICt5YN8DiP3HKWY2GsB8K+NBQhl1y6a+HZhrZteGA8j0mWnge+SPUIcAqA8aFznnpjnnvkzz/lYAXvZ6ApIHdYGa0jdNS6a6yNL03c1sfTOb4V9vY4m7dhP/94dWatIwTTs8IUygIPVhT6Y6pgWA9/2DBgB4Ef6eKUQ7XF0D5C0BDHHObY3kiRc/ZfreOdfOOfcIMnfkXwGws3NuewCPoKQDcyWAV3zl8yRSKyamdAX0H7+PsmbHSlOjO/ilyHS+BzvnOviGpAFSB/zpBmjfIJntaYfkqTuvudneb9sKyUUdnpiV9RmBshqEFMxsJzN7G8BcAGdQx2cegA7Z7KOK2Q3JNQnn3DwkA57AHwCChX8GgOZl7OeJNNvtBmCE3/c7SJwNW5Sxj48AtDCz28ysG4CfzWw1ALsAGGVmswDcBWDDNO/dEMC3acrTYmYbAmgNYFyWb/kGyVP9msrJvt5pD6CPJU8ygaQD9brvgL3iyxb5p81TANyPZCZ9ZwD9S+/UzOoBaEEP3mYD6GaJ82A9AF0AbAxUe2em2nHOnYGSjuvNSM7XTP90+VIAD9LmrQDs5ZyLnXFLrLL9AOwfGmAi5wc8vqGtByA8pDobwOgMHaJC1v/LDQLotdWQzHI87Jy725ctdy075/oB+M0/lDvOzLZGUqfv6q/lv1DSqcs0aHgQwD/87zWXyp/wdX4bJAPYU+j4mgLYxTl3ASreXgNIHtgiaXde90VbAOhkycPzSWbWgbatae1Grr9hZch0/tYCcBCSWXQgOX9bmNlU/+Cjm99uBQA3IumDpeAH0/Wpfiw0cwHsbckD/k7OuZ/SbNMBwETn3Lf+OngIwO7+tb8B/NfrEUja3NJMBXC/JQ+g0rmIuA/wPIDF9NrHzrlZXmfqA6Rte83sMiQOirAcZUck92kTAJsCuNASG/3aSAZom/rXVjWznrSr6mp7+wH40NcxfZG4Atsiac/2QuKaC32PdgDOdc6F/kymBwmZ6pZbANzhJwK4vi7rMwGkbZNhyVKOOQA+BTDAPzwti9n+swDgMACr0z1R08cKmeqi5fru/qHZKpa43DrBfzdLrNLf0OA3UFY7fAr8w54y6pgPAGzpH5qshGQ54sb0erWe2+oaIH/qnJvqdelK6L8AUE5HvimAcWY2F0BfANv48t1RMoAYi9SKiVnHP32GmR2I5IfNaoBG1PQOPpPpfHfxnYm5SJ6mbkPvSTdAWxnA3X77UUhdN/uGc+4z36mfRe8p6zMCWQ/GnHOv+0qzA4BLzM+gusQa84eZrZ7NfgrEMudiovG/kNigMvF7ltsBSaPJ9244J4uRNAwTAZyBxCGxAoAffaMV/m2dZp+/hf1kyVEAnnTOLcty+1X8Z9RU+lgySzwNSYUc1gL/BeDxUtuO9v/PRTJ4/sU/8fzdyK7rWQ9Jgw8gsc8BeBbAq0hm31/znxGoTfVMZdkNfobYOfcygHWtxG4+2jnH10tXAP8AcECY8SpFRR7wDAdwknPubz/LdCSA2zK8pZC/S1mDgKcBDHPO8cOFTNcysycSt8ubvr3dE8mDTiDNoMHM1gSwlnNuki9/ACWDjG39jNBcJINsrvNH+boaqEB7HfD9g8cBnOdKlkqtBGAdJA+n+gJ41CxxLNXAdiPX37AyLHcv+M7mwwBudSXW65WQXBudkcwK3+3rr94AnnXOfZZh/zWmjnLOvYdksDUXwLXm1z5WZpdpPuMMAP9Eci/NyPHhwO+kM7Xty7W9ZnYiksmF46gPcSySGfJlfuAyFclDsL2QDMS/9e3xE0j60oFCtb27IXno85dz7mskD9vCw6k3nHMf07aZHiRkqlt2RYl7jV1GZX1mIKVNBgDn3Kf+wd9mAE4w71Itg4sA7GFmMwHsAeBzlLTjNeb+yECmuihT3/1VJOd7dwD/8v93QjJBUJpMD3t6IrlWB/mitHWMb9vPRNL+TAGwEAXsH1XXALl0pcN//0rHkqkjfxuSpxutAZyO3DryAPCnf2IBJD/0wWa2EMlTv65mNiKLfdT0Dj6z3Pn2HYQhALr783g3Us9jugHa+QC+RjLoao9ktqX09vE9WXxGINfBGJxzCwAsAbAtFdcH8L9c9lMFTEUyWIQla+NaZ/GeXwBk00GbAj+r460rmwB4F0ml0dbMVjCzjeHXyPgZyRWcc48jadDb+c7kx2Z2pN/GzCzdDOUCJI1DthyD7O3VQDJbUSODx5lZZySdjI7+SfVMlFyf/6MOfiBc+38j9T74G8t3gJa71p1z1/n6bW8kNtP36OXaVM9UJb+W+vtDJPdMJgdF1nWKH4SPBXCZc26aL94eyfX/gW8bGprZB/S2gv0u5QwCpiJxJIQlLp2R+VpmDMAD1NZu6Zy7KtMhlHOI9wM429f5/Ut9XunfMRu4vYaZrYxkcPyQc+4J2u4zJDNMzjn3BpL7L8V6X1PajVx+Q2R4AJoD6e6FoUisi/+hss+QPIha5gcr7yEZMHcEcLa/D24A0MtSg3vVmDrKP9ha6pwbgaTz3c6/xG3sG0gGM+tZsozgGCQDJyA5zyGI37FI3IqlP6Olf+ByBZLO/8alNuE+wD5YPoZBeaS0vX4m/2IAB5eaoVuEZOACM1sVyYOhd3z5zt6VZEgednF8nZrY9pauFzI9SLgfmeuW8uqlTGRsK/zM8TyUM0vpkkCth7vE1XqZLwuD7hpzf6QjXV1UTt99MpLz0QzJw7w2SB5EpBsgp3vYsxeSc3SwK7GyZ6xjnHPPOOd2cs51RNLfLVj/qLoGyJuYWUev01ZC5XTk10TyhAYATqC3Tfb7gyWBJzJVTO/CPx13zl3inGvqnGuOZA3ly865nhnex9TESiYT6c53uGi/80/js4nCvCaAL/0s8fFIby9isv2MrAZjlqwzWcnrZgC2QjI4DIv5v8thBrOqGAKgkZnNB3AtgLcBpLN5MY8A6GvJmvqWZWw3BMAK/onefwGc6CuYqQA+BjAfie09WFo2AjDRzwiNQEn0y+MAnOJnld5G6nqZwGQA21NHu4OZfYZkVu0uS+yK8K81R9JJmMQ7sCRC8WdIHB9zLFlnGOiCZFBSE1kTyTrypZbEPdg5Xzv2T0RXtJK0GyuGGQhL1txuh9Q1OLWpnqks/ACoM5L7+ecM236CxHb3oCVBiEqTbZ1SD4m990HnXEzV5pwb65zbwDnX3LcNS51zvL+C/S5lDAKAZH3kYgC3+7/LupaX+cEmkNhsu5vZ+v4z1rGSCKPLDRr8LMNi8/EpkLQH4f5fHUlgmpVR9tq7nNtrXx/dC2CBc+6mUts9haReCQ8Q6yFpe2pcu5Hjb/g1gPUtWbNdH7nHPik94LoWyXVROgjXU0hmj8PD1S0AfOScO845t4m/Dy5Ccq/089sZgA3gz2cNoDWAN3ybdyWSNhhIHgg8b2YTXLJkoh+StaKzAcxwzoWYEL8C2NGSNd9dkQRcKs0g8wG+kMymzS71en8A+/jXjwTwFZIBerY8hxI3BgAMRnJPvWDJet47ffntAFbzbfGbSFwHc5xzryNZn/wWkkHPCv77w8+E/uac+yqH46kopR/8TwHQw7d5jZB8xzdy3GemumUqSiJ1c3m5n5mmTW5qJWue10Yy+FsuJg7jH7aE8dMlSAJIBWp0G56hLiqr7z4FQE8kD9j+BvADkkCKy43jsHzdsz0SN/DBjmIclFPHhDZpbSQzzdyPrN5z65yr0n9IrBLvIOmwL0DyJLihf20hgPVo202R+OFnI+n8X+HLD0GyvnIGkh90oi9fF0nn8m0kTzw+4f3Rfi8H8H9pyjsDGEN/90HyVPVPJGvl7qHXxgBoXdXnq4rP97VIZmKmIgngdJUvn4gk0hyQPIFf6PXmSNbUzkYS5GJJhvM2GMngLeNnlDrGZkgCFYW/D/Pn/XcknYNxvvx4/9vOQlL5H0rv6Q7gxhpwvlcEsIrXLZEMXOsV+rgq+F1uQbLuM9/7bQzgpUJ/vzKOrz6STsoCJJ3GiQA6+9eWlNo21llIoiQPTvdaqffcG84rkoZovv83DUDbUufpjUKfjyo+13z+1vHne44/F9v58qsAXETviecZyUzvfAAtS+23oa8rzP/dwdcpvwL4HsDbvrwngGW+Tgn/2qY5ztK/+1sA1i3QOdvXn6NZSDrGoa5eiKS+Nl/XDiznWh7gyx/yf/fw+5yDpG3dOXx3ADch6Yi8DKCRL2/rf6c5ft9r+/IzkdR7byBxe93vy+9HMiMRvkfO7TWSzqqj7z8LyRp0IBkQj/DH+RaArr68xrUbufyGvrwPknZ0sj+PV5U+p6B2u9RnHQ/gWq+b+vO3gM5fOLfmf+f5SAZWR6fZ14lIrePaA3i8EPdBFf0uS/Kwj/pIYrgAyczYrArs40kAm1fB9zsfwCnVeD5H+vtxkL++Bvm/5wLo4bfpjNT+Y3MA8+jvi+h6z1S3bIpkedJcJH3O0DdN+5lpjpPb5L1R0s+dA+A02m4gknbkb/9/OK7uAN5HMrt5D5L0W3z85xT62i7jN8pUF2XsuyNZm32a15cCmJNh36Xb4ReR9OlD3TM6zXtK1zEPo6SPdHSpbau1HQ5foqixZL3Zgy6xNFbk/Y0BjHTO7VnuxiIrzOxJABc7H1G2Au9/AkA/l9hFCoYla9kmIFmvbUiC2DxX9rtqJv4638k5N7rcjXPbbwck67FnlbtxEWJm7QCc75w7vpztzgfws3Pu3uo5suLCzG4B8Ixz7sU873d7ABeU9/uJ/FDZ9rqcfdeIdqMq8bNhE5AEYCu9PKSy+74FSSf3pXI3rgWY2RLn3GqV3MfmAB5FMnP7B4Dezrk3c9zHlgAaO+dKp9WqFGZ2EoDhriRInUD2bXIF9z0ZwCEufayMoqeY2uE6MUAGADM7CkmAg0wWvrLeW6c7+FVBZRoEb5M82uUvqIkQVYolCe4fKKvDqs5M5ajCBzx7I7GXLcznfkVmKtNel7HPOtNumNm+SGzpi/K831NdfiJtC1FQsmmTK7DPRkgeTD2Vr33WNoqpHa4zA2QhhBBCCCGEEKIsyksnk8J6663nmjdvXkWHUrwsXLgQ3333nZW/Zdno/FeMfJ1/QL9BRdE9UFh0DxQe3QOFRfdA4dE9UFh0/gvPjBkzvnPONarsfvQbVIxc7oGcBsjNmzfH9OnTK3ZUdZj27dvnZT86/xUjX+cf0G9QUXQPFBbdA4VH90Bh0T1QeHQPFBad/8JjZp/kYz/6DSpGLvdATgNkIYSoq/zvfyWpU1977bWofWYs7LLLLrGsXj1OGS5E3eD330vZ5XKSAAAgAElEQVTSmb7++utRv/FGSaaV+vXrR80zIHvssQcAYI011qjCIyx+Pvvss6gnTy4J8XHssccW4nCEqDRz5syJ+sMPP4z6sMMOK8ThiDpCdeVBFkIIIYQQQgghajQaIAshhBBCCCGEEKiBFuv33itJT/jpp59GzbYs9pCvssoq1XNgQog6zZ133hn1+eefv9zrffv2jXrgwIHVckzFxrx58wAAd911Vyz7+uuvo/7xxx+jXmmlkuYrWHWPP74kReJOO+0U9Qor6FlwRfnyyy+j5vZ50qRJUY8fPx4A8OabJelf//jjj5w+Z/XVVwcAnHDCCbHs7LPPjnrLLbfMaX91jVtvvRUAcPnll8cy7h8dc8wxUYdlIXWZn376KWq29evc1Dy47b3jjjui3nfffZfbRoGrio8ffvgh6kWLSjLXcf3Gy9pWXnllAMDGG29cqc9Vr0EIIYQQQgghhEANmkFeuHAhgOyeEvNTg969ewMArr/++limADlCiHyz4oorpi1v3bo1gNTZM1E2S5cujfqGG26IOtTjHBBtrbXWinqdddaJ+u+//4563LhxAFJnF7baaquox44dG3WLFi0qdey1lffffz/qYcOGRT1t2rSoFyxYAAD47rvvYtmff/5Zoc9r1Kgkk8n+++8f9WqrrRb1kCFDog6/87333hvLBg8eHPU+++wT9TXXXBP1jjvuWKHjKzbC7P5ff/0Vy/i34/slU11WLPz2229RX3jhhVE/++yzUX/ySdnBhLmf2bRp06hbtmwZNdclm2++eZmvb7bZZmn3nQ++//77qMMMONeVtZ1tt902bfnEiROjbtOmDYDU4IDcBtQVwv3P/ZElS5ZEvfbaa6d9X4MGDaIO1ye7KbgdZho2bBh1cPp+/vnnsYyDquWiub1i51gu3HfffVGfdNJJOb9fM8hCCCGEEEIIIQQ0QBZCCCGEEEIIIQDUIIt1WFg/derUWHbEEUdEvf322y+3LQDcfPPNAADnXCy76aabqugohRB1lTXXXDNtebDfzZ8/vzoPp9bB+VkPOeSQqDnH5YYbbggg1WL97bffRp3JahWW5rz77ruxjG2Hu+66a9TPP/981MGWV6zwOejUqVPUixcvjpotcunOLwcwCr8PALRq1Srq3XbbDQCwwQYbxDK2SrOddcKECVHvvPPOUYfgXOeee27a47z//vujZhurLNYJwVYcgp0BwFdffRX19OnTo+YAdsVI//79o+aAfz169Ii6T58+US9btmy5fXAQry+++CLqDz74IOonn3wyaj7X5VGeZTvYtQFg3XXXjfqXX36J+ueff446BGgDSu7FZ555Juvjqem0bds2bTn/tv/4xz8AAKeeemos40CCxRyokevXUKfmcj0WAl5msOmmm0Ydrv1wHQOpSxV4/MdLKbi9CTb7Qw89tFLHWLxXjBBCCCGEEEIIkQMaIAshhBBCCCGEEKhBFusAW7i++eabqPfYY4+og5UCKIlYfdttt8Uyts4oJ5oQIh9kslgHCxznbeccsHU5qv4bb7wRNduqf//996gPOOCAqMMSm7333juWcd3Pltxbbrkl6lGjRgFIjVK7xRZbRM0RkPnz2JpWjJF977777qg5nzRHJ2VLbliydPTRR8eyTBF3OVpssEezxZ1zUA4aNCjtPnr27Bl1sENyJPKDDz44ao4CzNGvRUJYirDeeuvFMs4f+uijj0Zd7BbrkJcbSM2VO3LkyCr7zBApONeovRytNyw/eOCBB2IZRx/PRMj7CuSef7w2wBZrro9mz54ddWgPuO5i2y1br4uN0aNHRx2s1U888UQsa9y4cdScQYLh5TVhySovdWI7M8PLYAKcwYCXELDeaKONos5H7vHQBwCATTbZBEDmiN3ZohlkIYQQQgghhBACGiALIYQQQgghhBAACmCxZmsJR1V8++23AQDPPfdcLOOoc5x4ul+/flEHO8mff/4Zy1577bWow1R76f2J6uejjz6KeuzYsVGHKLYcdY+jRn755ZdRs02QIz0+9thjADInlBeispRnsWYr3KJFi6Jma2hdgOt4tjbz8hmOsMqZC0I5R7wO9l0g1V7HFupff/0VQKo1e6WVSpo3zmzAkS1nzJgRdTFGQ37ppZeiZhsbZ4gYPnx41OH8cgTfhx9+OOqrrroqar7GAx06dIh6ypQpUdevX7/cY73yyisBAPfcc08sW7hwYdQcPZjbhyZNmpS772KFbZEvvPACgNQlZnxNp4v4CwDrr79+VR5iQeBlAwxHgeY+I9tEQzlvy/ZStp3y54R2oFmzZrGsolHy2SYd6jYgtf5r0KBB1LvsskvUbLcuFjjSfvfu3aMeMWJE1P/+978BpEbrv/3226MuZot1umUwHAWaLc/FCvcZ2L5dGTRiFEIIIYQQQgghoAGyEEIIIYQQQggBIM8Wa7assG2Lo1K++eabFdo3R6kuj2OPPTbqU045JWq2u3Tp0iXqYMvjaKmyY2cmRMsESqKWvvfee7Fs3rx5UT///PNRL1iwIO3+gg2erXJsjWf7ULAxAamWsTPOOAMA8Morr2T5LYTIjUwWa44aG+AlIXXNYn388cdHzdbaEKEVADbYYIOo+fwsW7YMQKodbtasWVFzFGvOchDqBbZVM1yfMN9//32Gb1EccDsWIpMCqRZrtucdeeSRAEqWrGRLiBTM9X2uhOuDreD8GzNsva5rFmteynHaaadFHfpfJ554YixjayrbUXnJQbCmFhNsj548eXLUa6yxRrUeB99/3E6ss846actbtGgBINUmzFbZrbbaKu3ncN+7GC3WzEknnRQ1X9NjxowBkNr+8P0xf/78qFu1alWVh1jtcJTqAC9ZrAsWa16Kuc022+RlnxoFCiGEEEIIIYQQ0ABZCCGEEEIIIYQAkCeLdYgoydbmSZMmRc1Jvs8///y05cECx9bnBx98MGq2Tfz1119RB3se27KuvvrqqNlWMW3atKhvvvnmqK+//vrljieUAUC3bt1QjPz8889Rh6jSbJF75513omYLNUfOTAdHdtx9992j5uiaBx54YNRNmzbN5bAjbNM888wzAaRGOq1r1laRf7iuYasvE+4ZtsLdeuutUXMkzSVLlkTN9WXPnj0rf7AFJlgZOYsA1+F8v3KUZLZh83KKAEcsZjj69ZZbblnmsXG9wLA1LSwB+fTTT2MZW7Az6R9++CHqEA2X27ntt9++zGOrSnbYYYeox48fHzVHtz766KOjDscaskoAmZfGcJtbUWv14MGDoz7nnHMAADvttFMsYyvksGHDoi7GyMvZcskll0Q9atSoqMMytK233jrt+7iO4fN+wQUXRF0s55Wj2H788cdRc9+F+5qnn3561GGZBi+pqVevXtSrrrpq1FyPhaVn2dQTXP7dd99FPXHiRACp9SbDv8+uu+4aNdeRXM8WI/y7bbrpplGH6Pe8vPOss86K+qmnnoq62CzWnCEiwNdE69atq/Nwqg1eNsQW63TnoyJoBlkIIYQQQgghhEAlZpB5NiUE6ODgTYcffnjUPKPAM7cVhQOIcLCOQHgSDQAdO3aMumvXrlFzHsBw3Nddd10s22+//aLmGeSRI0dGvfbaa+d66AWBzxc/mQx5E4GS3H4bb7xxLOOcwhwYgfOPhlzEXMb7qErCdcdwQI5CzyDz0y3O+zxkyJCoX3755ag5r2E6OJgOz9KHp6gcmICfkHJgj9VWWy1qDlgS9pfpqXldggN/9O3bN2oOesHnMTyp5fqA66WQ5xtIDabCAaWKYQb5lltuAZA6g8EzJXy9cRAdnpHhejcwffr0qHlG/4033oia76nA3Llzo+b6nu8jbhN4Nqg8OBAOBw4MwVB4tqiQcK54ZvTo0VHzbOKll14KILXuP+SQQ6LmWWOu30LgqGyCW4ZZMiDVVRRmsrmNuuiii6Lm+rGirqPayr333hv1wIEDo+bzc/bZZ5e5j3/+859R8yzbgAEDor7xxhsrdZw1BQ6CtXTp0qi5LXzuueeiziZPd3XCOca5T8NBSLmcg0KGGWmuH4spxzvXQSeffHLUIY8655Bu2bJl1Bw8tthI19d9//33o07XVy4G2H3x+++/R608yEIIIYQQQgghRB7RAFkIIYQQQgghhEAlLNYzZsyIOuQq3GeffWLZk08+GTVbD1988cWo2VoXpsoPOuigcj/76aefjjrkkGPrNudaZktK//79o2arY7DX8Gfzdxk6dGjUHESG9802u0LBFlD+rnfeeWfUHMyGA8l0794dANCuXbuqPMS8wnbLAAceKwS8zICtibzMgANLhOBiQPk2rxAACEi1EYVc1BzEprxAapngY+jQoUPUnJeRA69xoBC2fddmOMAgW4Q5cB9bPEMAOw5mxHYurmsYzlFaW/nss8+iDrbdY445JpZxHXPwwQdHvddee0X94YcfRv3oo48u9xl83hleApDOmt25c+eo2fLcvHnzqPkeDddys2bNYhnnj+Q6vrrzqVYUthgynF+Yc+KGAFCZLOK8tIBt8uEaz7Qsg/fHATfZyh3qL7bKPfDAA1HzdcU2+WKFrei9e/eOmgNc5pLDmNsdzg8bgnsBQK9evQAAbdq0yelYaxocYJTbyrvuuivqmmarZjhvOy+/ybQUh+up0JfOlEO8mNh///2jvvzyywEAM2fOjGVc/3GwtmKDx1hheUGmwJTFRKYAnk2aNMnL/jWDLIQQQgghhBBCQANkIYQQQgghhBACQCUs1myRC7AtmW2KHEVwjz32KPlwiuLKuSfTwVH6OCrzhRdeCCA7GwrnIOUIfyE/JEfP5JxaRx11VNrPvuOOO6LmCJHVTbDYch7nEJUaSLVbBxsKkBoNsCbwySefRM32MrZgso2VrfbBrs85NAsBRxXlKLoPP/xw1Hw9ZRP1tSLw/cJWG74X+X4IEXz5PuQomenyhgOpxx8sqnfffXcsKy8/bU2ELeQhtyKQmn+UCeeAcw1yVHe2+11zzTVRc47G2grXo8FmO3v27FjG5+GJJ56IesUVV4ya7/tgV+flIhyRki3dzA033AAg1R7Ntl6Own/fffdFHaIvAyX3AFvi2UbMETNZMyGvMi8fKiQc2Z7h3Mz/+te/oj7hhBPK3B+fG773y4t4z9Hg+dxxJOFgm+YlQRxZvLwozcVCqK/Z/s9t+3//+9+o+T7KBf7NuR099dRTAaQuCaroZxSC+fPnA0hdZrfWWmtFzXV7JkIdw3Xb66+/HjW3p7yk69dffwWQukSA21u2uHPU4XSay3hJCN9ny5Yti5rrupBFhK34xQrX9wHuw7Ro0SJqviaKmdDmhra0mMlksVYUayGEEEIIIYQQIo9ogCyEEEIIIYQQQqASFmu2NoQp/alTp8Yytg9ylMzTTz896nvvvTfrz+MIvc65qDkKcHlwBM6uXbsup6+77rpYxgnIOSI3R83j4y+kxTpYe9hWzVbOQh4b23jZNh1s7ayDVbw0HLGUr7vzzjsv6mBtXn/99St3wBUkRJjmKLx8bR599NHVejxsMcmH3YQjgbL17OWXX476yiuvBACMHTs2ltVGi3Wm34qjdPPyirAcY9asWbGMrbshqiSQGomcI0/WVtJFO54zZ07Uw4cPj5qvoRtvvDFqtnuuvPLKAIABAwbEMo5kzNZljrI+cuRIAKnnt1u3blEH2yEA7LvvvlFPmzYt6nxEwO/RowcA4JFHHqn0vvIBR97eaqutot5ggw2iZitev379AKS2jwxbrHOJwj5mzJioM0WxDtfHLbfcEss6duwYNdvCi5lzzjkHQOoSNLZB5yP6PUdhHzx4cNSHHnoogFQb97HHHlvpz6su0i2D4WuIlwdlslDz8roA9x3Z/hyyqAAl91qDBg1iGVuieakY1w+c+SIdvJSBl/Gw5vaG76lih+u3cN4zWaw5qjfX9bUlI0G2hPEYZ9kpVhTFWgghhBBCCCGEqAY0QBZCCCGEEEIIIVAJizUTolePGDEilj300ENRsx2RrdJss8s0VR7gSLCbb7551JxQvbJwtEaOts3RrXfbbbeo2Tb2/fffA0i1fFQXwWrDlk22ZO25555Rs+WHLXfpoq5yNMZFixZFzVFng+Yk7Gzt4GiYbLFcc801ow52PrZM8zHz711TCVZStrmfdtpphTqcvMPXDd8D4bpn2IJWGwk2XyDVDsrwcpJXX30VQKrNjW1xIbIxkN6SXJvhKMPp4Cjg559/ftQcyZizDoT7nrdlOxwvHeHlDMFazZFbuX7mpQDt2rWL+pRTTok6LAfg6P5sl+SlHpnYcccdy92mUOyyyy5RP/vss1FffPHFUYdlEq1atUq7D46cW15bx9F+2d4Yot2XJljtua1/6aWXyvyMYiFEXwaA559/HgBw2223xTK2xOcbjpYdIi0/88wzsaymW6zZKj169OjlXudI6ePGjYuarchcb4RMGHwv8/2Q76jeXIeGe4bt2LwEIrQ1ADBq1Ki0++PI+3WJsJSM6/q//vor7bZcx9TkOrsihP4yj8e4711exoHaBGdr4SUpjRo1ysv+NYMshBBCCCGEEEIgTzPIe++9N4DUYA8zZ86MmgNe3X777VEPHTo06nT5zPhJPueTS/ckn58U8ewEB0Dg/Jdvv/121D/++COA1JkKnl1lMj09DDOshZhBDjNefD6PPPLIqHnmgOH8gNtttx2AknMBpObx5cBo6eDfhHM2ctAMzpPNT+34yU9tJeT+ZedBpmsoF3hWkn9TntkMn8Ozlpx/NhtCYAvOFXjYYYdFzfciHxMHgAtOhrqQfzHcL0BJIDp2UbRs2TJqDqrD9VgxwOchwIHZeDb+oIMOivqMM86ImoOkbL311mV+3mWXXZa2fMMNNwQAHH744bGMA+iw04iDpvFnh/qQ3SvFFMCFZ265LUw3o8C/WybKe0o/Y8aMtOWcq57bmBBAiZ03mYKFFRsc2DDUtUcddVS1H0ebNm0ApM5g1nTSBSPia53bqE6dOkVdU3KVs5tuhx12SPm/LPj+at++fdT8HYsRdjCeeOKJUYfZd3aucHBGpticXEzo+3E/7aOPPoo6H/3SmgIH1GOXTb5cHppBFkIIIYQQQgghoAGyEEIIIYQQQggBIE8W62BJY8vuoEGDouZ8wRyw6+qrr446LJrn/Jc8fT5hwoSoOXhUyHtbXi45INUmylbYkDOradOmsYyDmDBshWKCRbUQuRrfeustAKnWtPr160fN54thO/XkyZMBpFql2Zq0zTbbRM12+KCDxbEuwYHl5s2bBwAYOHBgXj+Dr8Mnnngiag5eEyy8HDCLLVpsgz377LOjZrtqCHTy1VdfxTK2xHLAmBdffDHq8L2BksBwbPUuVoIVkZk9e3bUbLHmHJohZ3mxsNdee0Ud7LBseeTXOR83B73hACIhjzAHpuHzynZ1tmn37dsXAPCPf/wjlnGgQg5cw7l808GWR/6Mc889N+raWN9xcDKG29ZgU8tmqdDuu+9e5uvc3jJcP3CQtGDZzncdWhvgQFJh+VHo21Qn4TN5iVxNJ90yD14mwfnQGa4HauMyL/7evEyC+37FyPjx46OeOHFi1GFJAi/f4+WdvLSGbdjFRrrlddyeFpPFmoN05Sv3MVP8PVkhhBBCCCGEECILNEAWQgghhBBCCCGQJ4t1iAYYcigCqXkszznnnKj322+/qNk+GmwRbBNl6x3DFpKwDecAZrsMR7dmm/Cpp54adbABsqWJ7d3Bvgek5ndmOLJedcDWgi5dugBIjcLNHHfccVGzbbZ58+ZRh6jebHnj8xGsj6KEhx9+eLmyTFF4v/7666hDvk8g9XoP9n22BbGFiCMy/vbbb1GHa5WjTrOVl4+TI51zZPKw5OCkk06KZbfeemvUfK0wHJH24IMPTrtNMcK/c7C3zZkzJ5ZxNGW2BRebxZpttCF3KtucOQ8y5wjn5TV8HYblIGxz5v1xrvR0FtRhw4aVe8wcSZzrzLBMhjMt3HTTTVHzfVTd9X0+4KimDNvv+H4uj/KiLPOSK+bOO++MmqPmh+uHf/tihq9DzqvOmR+qm3BPcXtV0+FlHKeffjqA1PqF62XuJ77//vtRT5kypSoPsUrgSPOcOYCXPRUj/F2Z8NtninzP9RFHdS42Qh5khq/1YoLHQekyIVUWzSALIYQQQgghhBDQAFkIIYQQQgghhACQJ4t14KyzzoqabVRczjZsjnYabKJs2WM7DCd+b9CgQdbHxJEKX3vttajZdhzYd999o2ab3YgRI6Lm6KscBXj06NEAUu3kVcnzzz8fdbAJsl1t5MiRUd98881Rs6WXtwkRTtlizTZesTx8vfznP/8BABx55JGxrH379lGzHYqjxjLBAsS2Tr7WOQJ8p06dog6/aYcOHdLu96effoqalz4sWLAg6hAVmxOs87UwatSoqNkC+O6770Ydrpdc7s/aCv+eISokW/mYsAQFABYvXly1B1ZAgpWcI55fccUVUbPt/NVXX436ggsuiHrvvfcGkHp9Z7qeODp/LpFb2fLOOkRwvv/++2PZtddeG/WiRYuy/oyaCFt6Gf5evPQoHauvvnrUu+yyS5nbcvvNcBR8/p0PPPDAMvdXbPCSA15OVsgI6cFizcfGEeD596+JhH4n99O4z8mZO7gO33///aNu27YtgNQo0VxP8HXN5aH95rqI637OZsCfnQtPPvlk1Nz/2HbbbaOuTRHIKwJniuHxQsjmksli3bhx46i5H1xshGuOs0YUq8WaM8l07Ngx7/vXDLIQQgghhBBCCAENkIUQQgghhBBCCAB5tlizbYSjl3LSdrZqnnjiiVHfcsstAFKtMWyJZmsP2wVCFLPOnTuXe3wcrfOqq66KOkQnHTduXCxr3bp11GxnvvTSS6MeM2ZM1MHezLbkqrSaprNh/fDDD1GzTTfYp4FUC93OO+8c9QsvvJDvQyx62NYU7D1sZ3/99dejnj9/ftQnnHBC1Gz1DwneL7/88ljWq1evqDlaJ9OiRYsyj5Ojwt53331lbsu0bNkyao5uzffw8ccfH/Uqq6yS9b6LiWDFmzZtWtrX2Vq3ZMmSajmmmkKjRo2iHjJkSNRsX+TIyfvss0+Z++MIrVyvjR8/HkB27UAuNG3aNK2ujWSKoM7RrUM2CbbAMwMHDoyas0WkI1MUa26HOSp5XSNT/6CQS5vCZ7N1taJ24ELSp0+fqDkrBNsw2WbLfaewXKoqfwc+v2zJDvZtbkvZxh2yjQBAmzZtos5kHS9GeCzAEZtDHywTFV2SU1sJ/Ukgtc6t7XBmom+++SbqJk2a5P2zNIMshBBCCCGEEEJAA2QhhBBCCCGEEAJAni3WzG677RY1R7RmCypbAOrVqwcg1ULCFuzrr78+6kcffTTqEBE4G2sd22vY5tq3b18AqbYLtpJxVNPdd9897XcJduWxY8fGsu7du5d7TBWFrYgh+uo//vGPWLbppptG3bNnz6hDxF2gJGIsUPciiOabYCX917/+Vel9Pfjgg5XeR77hCJAzZswo4JHUPILlJ5PllC1ydTky/MYbb5y2nG1S5cGROVmHyKUcRf6YY46Julu3blHX1aUAmaJYM1tuuSWA1EjT3OadccYZWX/eZ599lracrY477LBD1vsrNvg65L5HyOhRCN555x0AQLNmzWJZbb9feIkL18WbbbZZ1BwdOtTnH3/8cSzjvhL3Wy+66KKog82ZI4BzfR+yjQDA448/HvWsWbOiPuKIIwCk3iOZ7LGhzwykts+cLaDY4fqjPIv1smXLouZzV6yw/ZzHJbWdr776KmpeHiSLtRBCCCGEEEIIUUVU2QwywwF+WN99991RhzyAnEd4+PDhUfPM52GHHRZ1//79AaQu3OZcrgznh+MgVyFgwnXXXbfc8QAlgcBKs8022yxXxk83qhKerQp5mvnJIT/l3GOPPaLmQE8HHHBA1P/973+r5DiFKHY++OADAKk51zmYH8+QZgqUJLKDc5BywK5///vfAIB77703lrHTiAPVHXLIIVEfffTRUe+33375PdgaBp+DTIS8kuF8VoaJEydGze0V3yeZcrfXBThQE+dufeqppwAAAwYMqJbj4JnNEJCUA3gWEz/99FPUW2+9ddptQv+RZ5g5QB/3L3lmORd4Bpn7Z5xDPvDSSy9FPWnSpLTbcqDDugTnRA7Bdvk35jqPZ+Xr2gwyj2E4UCi7K2oLmcZjmkEWQgghhBBCCCGqCA2QhRBCCCGEEEIIVJPFOhMcPOraa68FADz99NOxjK0lzz77bNRsLXniiScAAGussUYs46AiIYAVkGq9YJtBCMYQAlQAqVbwTFYnXvQfKEQQnpBn+sMPP4xlwXYNpNoOOccu56kMWvY3IXJj8eLFAEqs1kBqUEGG6yNROVZdddWor7nmGgAlS24AYMqUKVHzEhK2N3JAvJDHuljtimwpXWGFkmfjHOgktCEVPQecj3XkyJFRcz5sbmOaN29eoc8pNjig5ymnnAIAmD9/fixr1apVlX02Lwf59ttvAaT2E4oJvj4z5elOB1+/n376aaWPg/Mu8/LBdGQKbsjHUax1VnmkC/I3e/bsqHkswMsm64LFOgRcLA33U9q2bVtdh5M3Fi1alLacl0HkC80gCyGEEEIIIYQQ0ABZCCGEEEIIIYQAUGCLdYMGDaIO0RM5miNHUuzSpUvUHOk6WCU45+Irr7wSNedV5giobM8LOYMHDRoUyzgvMEe/u+OOO6LmqNcrr7wygFRLR3Wz3nrrRX3eeeel1UKI/DJ58mQAwJlnnhnLpk+fHjUvG5HFumph6zBHh80UKZZtrNtuu20VH11h4cwN5557btQ333xz1MF+fuyxx+a077DciPNQc5sc2kcgNSe1SDj44IOjDhG/Bw8eHMuGDBmS18/jpQW875DXl6MDFxOcRSCbqO4B7ltxNpSKwkvxyssznclinclqWpdo167dcmWcDzmTxZrzjhcrHMWa4bzatdFiPXfu3HPy6AUAACAASURBVKjZKp/p+1YGzSALIYQQQgghhBDQAFkIIYQQQgghhABQYIs1EyJszpgxI5YNHTo06rFjx0Z95ZVXRh0icK6++uqxbLfddouarWLbbbdd1GzvDhYXjmJ99tlnRz169OioOXIg28HHjBkDoHZaFoQQFSdYVzlK8Msvvxx1ukibonCsuOKKUbdu3bqAR1I4QtRvIDXLQcgKccstt8Sy3r17R81W6W+++SbqsIznxRdfjGUcoXrp0qVR33TTTZU59KKELbx9+/YFkBoJv0mTJlEHGzRQvj2XozbzEpBHHnkk6n333Tfqq666Koejrn3cc889UXfs2DHr9/HvEyJ9V4ZgowdSl/6lg/uq3MbUhUjM5cGRyMNSyUwWeF4qyfVYsdKiRYuouZ444YQToublFeWdE94HX5Plsdpqq0WdLnNOJp3pdc5u1KZNm6ir4jfVDLIQQgghhBBCCAENkIUQQgghhBBCCAA1yGIdYCsR231Y//TTT1GHCLITJkyIZawvvvjiqJ1zWR8HW2o6deoU9ciRI6NmK7cQom7Dddcvv/wS9Zdffhk1RxIWolBwFocRI0ZEHaIpc+YDtvQ2atQoar6uQ/TwjTbaKJZ9/vnnUYcsFQDQtGnTSh17sdO/f38AqVHAL7/88qg58jpn1Xj11VcBAOPHj49lo0aNivq7776Lmm3u/FubWaWOvabTo0ePCr2vVatWUbNllPuUuZy7KVOmRL3OOutk/T7OylLsv1WuhKVMvEyTIzbzb8X1X7HCFvxQNwCpyytmzZoVdViuyrAt/YcffqjQcfz8889R85IP1n/++WeF9n377bdX6H3ZohlkIYQQQgghhBACGiALIYQQQgghhBAAaqDFOhs4wftBBx2U8n9p2Bbw8ccfR80WyDC9z1E3N9tss7wcqxCibsB10Lnnnhs12xz79OlTrcdUk1hjjTWi7tWrV9S77rprIQ5HePi6veCCCwCkWnd/++23qNlWzQR73rJly2LZuHHjou7SpUt+DrYOEKKxPvjgg7Gsfv36UXMk5ocffni593NGjz333DNqXqbG0V9F+fTs2TPqY445JuqK2px5KUIuyFadmWCxfuyxx2LZlltuGTVHDj/ggAOq78BqANtvv31aXVP49ddfow7W68WLFy9XBqRax3fccccqPS7NIAshhBBCCCGEEKilM8i5wAEQcgmGIIQQucAOFM6d3r59+wIcTc0jBHICgAceeKCARyIyceONNwJIzcE7adKkqDlIEAfbCjlIOU9rw4YNq+w46xoDBgyIumvXrlF/9dVXUYcZNM7vWxfyvVY3nEdd1BxOPvlkAKk5ejmgGgfV3WKLLarvwES5cNC0oCvqssgnmkEWQgghhBBCCCGgAbIQQgghhBBCCAGgDlishRCiujnwwAMLfQhCVBgOhLL33nun1aL64OVhHCRKCJGw/vrrA0gNkClEZdAMshBCCCGEEEIIAQ2QhRBCCCGEEEIIAIA557Lf2OxbAJ9U3eEULc2cc40quxOd/wqTl/MP6DeoBLoHCovugcKje6Cw6B4oPLoHCovOf+HRb1BYsj7/OQ2QhRBCCCGEEEKIYkUWayGEEEIIIYQQAhogCyGEEEIIIYQQADRAFqJSmFlzM5uX43vOM7OG9PelpV5fkq/jywUza2Bmk8xsRTNrZmZvmdksM3vbzM7w26zuy8K/78zsP/61s83s5EIce2Uxs3vMrFUVf4aZ2ctmtoaZrWJmb5jZbH9++9N2m5rZ62b2gZn918zq+fL6/u8P/OvNfXlrM7u/Ko9dCCGEEDUDM7vKzC7y+moz26uc7Z81s7Xy8LmdzWxMZfeTxedk7Fub2YbhGMysnpkNM7O5vj/VmbbbwZd/YGa3mpn58hvMrGt5x1CjB8hmdqKZDc7H9mZ2qJld4fUFZjbfzOaY2Utm1syXdynV+f+fmR3qX8vUaa21g4JCUeribm5mv9E5v5O26+F/o7fNbACV1/Zzfh6AhvT3pZk2rGZOBvCEc+4vAF8C6OicawtgJwD9zKyJc+4X51zb8A9JkIgn/PvvA3BOQY68EpjZis65/3POza/ij9ofwGzn3M8AfgfQ1TnXBkBbAN3MbGe/3QAANzvnNgOwGMApvvwUAIt9+c1+Ozjn5gJoamabVPHx5w0z62NmC8zsoTzt7zEza+H1dWb2aekHTWU8YCirgX3RzNbOxzHWJKzUQ7oKvH+imbXPYrvHzKyFmTU0s7Fm9o6vz/9N22xiZhPMbKav7/cvtY9NzGwJdQbrmdlkM1uposdfk8mms5vDvrY3s3u9Ps6f37lm9qqZtaHtupnZu/7e6EflD/nyeWZ2n5mt7MsPNLOr83GMxUIO9wT3f1Y2swf8b7LAzC6h7TL9Jo+Y2eZV8y2qBqvYREIc0FWkvSh1ntf1dcwSKzVG8PXJUDN7z9dPR/jyM/zvMsvMXjH/AN1q4ANp59wVzrkXy9lmf+fcj9V1TLliZivmsPkFAO72+lQAcM61BrA3gBvNLIxt7/Cvb+7/dfPltwGI91RGnHM18h+AlQCcCGBwDu/JuD2AVwGs53UXAA29PhPAf9Nsvw6AH2i7RwEc7fWdAM70uiGAmYU+X7XpH4BBAA7xujmAeWm2WRfAIgCN/N8PANizpp1zf/zvAHgIwAIAj9E1syeAmQDmIhk81gfQB8AfvmwCgH8D+AvALAAP+fctof33BfAmgDkA+lN5L182G8BwX3YQgNf9Z74IoLEvvwrAcACvAXgfwKkZvsurAJqX8Vs0KVW+BYBP4YP9+bInAexYgN9hVQBj/fmYB6AHgK4AnqJt9gbwZDjHAG702+8GYCKA9vTadf61aXQeW/q/5wK4NpvfqdQxjgTQOU15QwBvIXkQYQC+A7CSf60jgHFej0Py0AJI6sfvwrkHcC6Aiwt9P+Twe70DoGme9rVN+F393zsD2JB/H1/eG8CdXh8NX+8DOAvAMK/XBzADwAr+7xMAXFbo81UF538hfHtYwffH+yWb38Vf4128rgdgCoD9/N9DUdKetgKwsNR+HgMwCsBFVHYlgOMKfR5r+j9/3tp4vQuAtb3eD8DrXq8I4EMALfxvMxtAK//a/r5OMgAP0+9kSNqZhoX+jjXlXzb3hN+O+z/HAnjE64b+vmxezm+yB4C7C/19czw3zZGmn5fD+3NuL0qd51WRtPNnoNQYAUB/ANd6vQJKxglr0DYHA3ie/n4RwCYFOI+XAXgPwCv+frzIl98PoDuSAeAo2r4zgDFeLwSwnv8tFiAZYL4NYDyABn6bDkj6MLP8+UvXN+8MYDKS/ta7SMZDob08Bkn/aB6AAfSeOwBM95/H/diFSB70v4WkTd7BX+uzM32+f99HAOp7fTuA4+m1lwDsiKQP8A6VHwPgLvp7BoANyjrfeZlBNrNV/dPh2f5JYw9fvtDM+lti1ZxrZlv58nXM7Cn/NHOamW3ny68ys+FmNhVJh54/4wAze83M1jOzRmb2uJm96f/tWs7xbQHgd+fcdwDgnJvgnFvqX54GoGmat3UH8JxzbqmZGZLO9mP+tQcAHOr3tRTAQjPbMecTV0WYWS9/bmeb2XBfdpAlsyYz/axIY19+lX8yPNHMPjKzPr68uX9id7d/4j/ezBr419r6322OmT1pfobF72OAJdbR98ysU4ZDPALA8+V8jRYA3nfOfev/ftG/ryae8y0BDHHObQ38f3vnHSZVkfXh9yiKoIgKGNaEOQsomHN2V8WMOYdddV3lW7OrmLMua14TZkyYs4iAARNRxQSiAq6KOWCu748Kfbrn9nT3TM9Mz3De5+HhTPW9devWvbfir07xLXCEiMyFL7T6OT+y1Q7fuPgPMB3fWNzUOXciMNP5Gdm9daQishV+1Gst/CzjmiKykYisApxKbgbyH+GU54F1nHO9gMHA8Sq61fHv8LrAaSLyp4JrzQks7ZybosIWF5Hx+E7wBc656QX3HTsZ2hX+a0Cx596UbANMd871cM6tin+/hgErikh06X8gfqACfIX5cjj++YK45gZGhbwdQRihBAYCA8PznBoPLvacMtK4Pr5QjufNLiJjgc+Ap51zL+MHI752zv0WDpsKLBrsRfHPgvD7N+F4aLl8rxjxKpGlgcdF5FgRWSuU7WPEz2ytEI47QESGiMgTIvKeiFxYJMq9gQfjH865Uc65TzKO64svu8GX5ZuHsn1l4Nlw7mfA10CcCXoIX7G2SrLq5lDG/wkYJiLDwnFbhWcwWkTuEZF5QvhpoY59I8yySEH8s4nIIBE5O+Py6bk45350zg0L9i/4BlGsdx0wb7A748vHGP+OwAf4hpXmgRB/zSNesfZG+HdMCKuvfh0kIrsGe/PwXUwI9XT7EJ7Ztiq4bidgdefcOADn3IvOua/Cz7rdsxbwvnNucng2g/HfCs65x1wAeCWeE/5+Dtiu+jnWdBRpG3UXv/QlKgqXCOHpOYS/v1f2CZJTnJyvLrFbhe0fB8wtXg3RAT94/i31PBP84NIW0koVFOIVJWNEpE99ZXx4x7tm1Bdzh2/hlRBP3yKXSvnsnPsh1PM/ZRx3EHBeOO4P1U/4Vh0zN/5ZRR7Gt3+aDRFZM1yzJ37gqk/GYc8Aa4vI3OHvfvh3p5DlgCudc6vg67tdQvhNwOHOqwN/ryc5a+HVgivjJw52Dm3KC/DtzJ5An1B+gx9k7o1vh24soc8X+MI5t4ZzbnC4/t9D26tYPiyFV9L9HILGATuISLvw25rA4vj20lR1qm5Lga+D6u07VktindU4jcxwzq2BH0H4Zwg7Az8DuDpeXnqLOn5lYAvnXGqUiMhO+OnwP4eXdyBegtgH/2CvL5G+9fGZkcXBwOMZ4XvgR2ig/kYr1FDjtIGdpxWBrfEv/ekSZFQU/4huAU4Iz28CfjQ/0s45txZeRqzDY/oKX26ApUJBN1xVKu8DK4TKqx1+QGJxdU7N5DnwsXPuhWDfhh+pXAH4wDn3bgi/GcjqNNXHVuHfGPz7uyL+mWyGHyWMBfmX4fjFgCdFZAJ+RnMVFdeDzrmZ4Zxh+Get6Yp/xgnn3MfhGS8L7C9hUEWhv5HIZ/jGd3MzAdhS/ADNhs65b0Ij7lZgH/FSrXXJfeu/A/cViesXIK6xeR0/4ko4/55g36GOL/acClnAOfdd/MM593uoiBYD1hKRVcu92QxaKt8rxjn3V3KDRJfhZwc2DGXTacC56vCe+Ep+NaCfiCxeGB8FAw/1UGyAoVgFS+hQtBeRLtlR1jx16ubCQToR6YqvM7YIdfVreAkb+NmWPuHcDuR3iNrhlTPvOedOzbh25nMJ3+L2+JF+8AqXfURkKvAYYZlG6KSfgG8vFPIG2Q3EmiI0ag/Eq0PWAQ4VkV7h52L1azw3c5BVHZLVttL0xudTFrrdk76LQGH7htAm2Jf8tl0t1cElqadtdDlwc6jrbgf+UyKebfGd1bVDPHrgrtL2z73AD/glTR8BF4f6vOgzcc79gW8fFe1E1CriBz/vAw5wzr0agust4zPqi1OAZ0M+bwpcpDqE8TpZ7cys9MQ1uWepwcGF1O9Hisgk/DM+Wp3aEu/+hnhFzo+h8/5Q4QGhXnsC2D60m/+CGjxWfOCcGxvs14HuIS86OedeCuF3ZJwXeSUM3vyObwNugC+Pn3POfR7ScTu5Nu/uIjIa30ZaBd/Pi9wF6VnM55wbEcLzJkkViwCfq79vxH8frwH/xish6+vcR0q2marVQa7TOFW/xfWJuqG5AeHmnXPPAl1EJI4gP+Scm6nO3wxfSf5FjX5uAVwhfvblIWDeUJkWozBDARCRffCVyEUF4YvgP9Yn64lTU0uN04Z0nh51zsUZ9s+AWEBkfUSd8S/x8BBe2PHLet6awmfxCV6q0gvfKLtDROYNz/pv+I9nJF6KoV/6Wsrzws3Eq7W5uADnudya32WdczfUc/zl+AbtasDhwFwVpHFmwfG5A/3M8RuoCkH8+rV2zrnCBvBcIa5mJQxErEGQP0vwN4AfkdwHPwt4jxrk+ikU7ln8GjrX4N+5UiP15T6n3yS3Nkan/Wv8oMU2wBfAfGp2YDFgWrCnETpu4ffO4XhooXyvEp2Be8SvUbuM/LJpaBjs+Al4C1gy4/zM8r0CSlWwtVTWVEp9dXNkHXyD5YVQp+5PLp83Fa88moCvW/SzuRYvgTunyLXrPJfw3t4J/Mc5NzkE7wkMcs4thp8ZuTV8JwPwA+F1nBaGb/eXMEtay2yAb9T+EO5jCLlytE79WnBuqUHWSutawPtawXeQT6jgPq4CRjjnRqqw1vZdFGsbrUuuM3Ar/pnVxxb4JRk/FsQDlT+TtfBlzZ+ApYD/k+BLoQStLe8BuuE7a3u7oGoIlFPGa7bC+0QZi1cxzAUU+t8ot05oh69jXwyDTS8BF8cfnXNXOueWwX8rehCwlvN/MLA7/n1/TQ/KK/TAQTltnELKbvOGwYp/4pdIro6XZuu25g8VXjuvreqc+805d2xoe/UF5sPL0KeRrw7WbSkoo81UlQ5yPY1TyD2Ich9CYWZNAjrh1ztGZsPPhsYG6aJZlaiiTuNfvBOMU4AdMkaZdsdXar+Gv+trtELraJzW13kq9rE05CMq9bwLX+6fnXNfBPt1/PNePvz9sHNubefcuvi1Du+qeGopz5cQkXWDvRd+tv4d/IDCsiF8XyAOKnyHf6cjv6pZe82TwEGSkzsuKiIL4uWgu8VZLRFZIBzfmdx7uX9BXH3Fe07ugl9D8qr+MQxIzB5mLRCRxSQn+Zsf32h4R52yJ3Vnj8E/u4qccVSDIO/50Tl3G37Aaw1Infvp+MrtpkZeZhS5WR4tryr2nAp5By8VQ/wykeiApAN+ffTboWM+DL/EA/xzjCPAD5F7rrviR9FjxdQi+V4lzgKGhVnK7SmvbNIUHdwpIHOAoZ4KNlJLZU1FlKibI4KX+Mf6dGXn3MGhLLgK2DXUG9eRn88v4jvQxfI+67n8Fz/j/G8VdjDexwdh9mIuvKJlbeBCEZmCn5E7WUSOUue1J1sy2VpobCO1oroWIEgbr8evzYyDa+m7COS1b0TkdHznpj/5tNrvokx+I7SRw4DNnGWcU+kz2Quv6vjV+eUdL+Anbep9JrTOvP8GP0teOABR6XcgwC6qvFrCOTex4Jhy64QvgB/JDWzcQ2g7FDCYsKwy0BL5PwLYUfxuI53wdWUWw/H3cCjZ8upMwkD9dyKydgiqT0K+lnjHxbPhZ/+fxy/B2Fi8LH52fBtxOH75zA/AN2F2ftt6rv+1iMT3o9gSmndRg0/iHUDOHewtgd+cc285v8zqWxFZR0QE77dHz6aXbDNVaw1yZuO0HkYSbl68x9AZLl/vr/kQ3yi9JUhkwC8qT95yRaRnietNxMtE4/G98KPfO4RCqZC8xn+JRivUVuO0IZ2nsgkzEF8pKbTu+JVD4cvdLXxMhJHT5fAL8ImdjNBBO4J8KX0t5fk7wJEiMhGYH7g6jIYeiJ8ZmwD8gXdmAL6R+ISE9X/h7/FS4KHROfcUfmT7pRDHvXgJzJt4J1LDRWQccGk4ZUC43ut4B06a8fh3eBRwlqu7nhj8dxULp5WAl0P8w/HSrwnq2N3J7iCvDzydEd7UrAa8EkaVT8c70YrcjpfBF1ailXIM0F/8uuxl8RV+0eeUcf6j+MEJ8CPcw0Jcr+I7KFHWfUK4zvt4CXCcjb4Br7Z5H99Y1V4YNw3xt0Z02XRAA87PK9/rIXOAoVgFG/4WYGG8gqXVUU/drAfpRgHrx8E88Wv8lifXwJwRBn92JZ8b8JLouyV7PWRhvXs2/lkfU3DcR3iHhojISuG6nzvnNnTOdXfOdcfP7J/rnLsiHNcF3274ldpmJL5RG9+xnUJYOdQ3yFoOhfm/BL4jsK+alQZf/iwXGrxz4hvGD4VzDsEvv9rTeWmvppbq4HIo1jZ6kVxnYG9yz2cKfrkFeCdNcRD7aeBACV7gVTzlkNf+wb/7m4V45sarOd6mnmcSaG15D37p0k7AfiKyVyPieRL4eyibY3u+kMJ8ziS07R8mVy9vjp/FRvI9hf8F7+A00uz575wbjVdUjsMvj3i1yHG/45eIbUtuqVi5HAxcF9pRcxPaOBm8ClyBL2M+wE8ofoJvkwwLaXzdOfdgUAuMwb/Xd+AHgYpxIHBluL5kHeCc+wGYpMrFBYHRof19Ar6cjMR+w/v4ybfHIS0ZWRavGiuOq45nta3JeT57lZw32CnkPML1xuvTwXuIfiCcMwrvSAJ8A197qjyA4HEO6IV/cZfBjy7fFc5/i5xn0nR8Qfo64p18RI+vzwCfhvSOxcu647Hd8Y212QriWBo/QvI+fpSpvfptNNClGnlZpeexP/7jHYeXroFfMzMZL/25SD2Lwjx/I+RBd5QHObxEYkCwe4bnNj48x+gZ8zn17LtS4I1UxTUUWDbYu4RnMzbk4/bquDvD832L4EG8VvO8lv8VPuN6jluD4BG7gdfp1Zjzm/D+rwAOrkI8HVUZsgd+XXcl5y+C7whX+/7ah++xXUvndQVpnkKublgX36AZgx/YmBLC88pzfGW/SUZc+xK8kIa/L8RLpv8I/w8I4XOFsvv9UJYvHcK74zsjE/F1w5Iqrt7AfS2dX43I52J189/DPQ8Lf29Gzgv7ePzgMeF5TMI3am5SeanL+jNCWV1YZ6bngp8BcyGPY717SPht5RD/uBC+VcZ95JVh+M76JS2dv2U+g/74evUN4Bj1zhWrXwfhZ+0hYyeEjO8nta0yrj0BP6gKvqH4lcr/19Rxf8Z/g5NQXtvxs6iT1Dmnqd8eAVZr6fyt8FlktY2WxHeex+PbJkuE8IXw5eo4vPMhvWvBifh2yVj8wE3hN1Fu+2cefJn0ZojvuDKeyUL4NaAtnp8V5Ht63/EKnVfxgw4HUKSML3jHtd0BP8E1IeTbI6XyWcXxJX6XiqnkvIIviZ+dLXz+A8m1TYcBq6i4rkC1VdvKP2Cegnd8YEunqUg6d0LV+Q08/6xSx8XGXptHRAYCD7sSe4U1IN5eQH/n3L4lDzaA5HRtTZft2KWc8y3PK0BEBuAr94vLOPYgvMOScpwcFJ67JV4+OaXiRDYRYTb9B2BLV8JhRxlxbYivGAXvVOcg59z7FcaxO15SV0wx05B0LQcs6px7rlpxtiaCRH0YsH5D3tsScQ/ED6AOLXmwkUcTP5chwIkufybUKEBEjgW+c86VcmRaabwLAXc45zavZryzAlVo/xwLfOvq90cyy9PYfK4n3vZ4JccGLufTpE0gfgeik/Ay9w/xztQa49+jyRCRQxparonIbvjJinr3hZ6VOsgL4b0O1vH81sh4a65T0Bpo5MtteW4YRkJEtgYmOuc+qnK8hzrnrqtmnLMSTfFcouTUOXdLyYNnccL68N2cc8U8wjY03j54Z4ZjSx5s1KGR7Z8D8UqtNtU5awoak8/1xDlLD0jPSlTUQe7atavr3r1706WmjTJlyhRmzJiRqaevBMv/hlGt/Ad7Bg3FvoGWxb6Blse+gZbFvoGWx76BlsXyv+V5/fXXZzjnujU2HnsGDaOSb6Air4ndu3fntdfqX9Ns1KV3795Vicfyv2FUK//BnkFDsW+gZbFvoOWxb6BlsW+g5bFvoGWx/G95ROTDasRjz6BhVPINVGsfZMMwDMMwDMMwDMNo1VS6755hGK2Mzz7L7WT25JNPJnvffc3HmWEU8t133yX7rrvuSvZBBx2U7NlmmzXHlj/8MDf58cQTTyT766+9r5OllloqhfXt2zfZ7du3b4bUGQ1h4sTc7nePPOJ3hZlrrtwWsp07d0721ltvneyFFlqoGVLXevj0008BGDFiRArbddfczmhhVyKjGfnhhx+SfccddyRbl+Wzzz57s6apVtHl+WqrrQbAoosu2lLJqQlmzVreMAzDMAzDMAzDMAqwDrJhGIZhGIZhGIZhYBJrw2jzHH/88cm++eabk73hhhsm27whGrVA3FVh+vTpKUzLvJ577rlkX3xxblvv33/32+w++uijKawcGfTzzz9fJ76OHTumsDvvvDPZffr0SXaPHj1Kxt1WOOaYY5I9cODAss/r1i3nqPXAAw9M9oABA5LdoUOHxiXOKJuvvvoq2SeccEKyb7rppmT/9lv9OwfNMcccye7Xr1+yL7roomQvvPDCjUpna0KXH7vvvjsAn3zySQrbc889k63z2ZYcNA9a7n7YYYcle9111032qquu2qxpqlW07HznnXcG4Iorrmip5NQENoNsGIZhGIZhGIZhGNgMsmG0Sd59991k33rrrZnH6NFvm0E2aoH4rh5yyCEp7Nlnn0329ttvn2w9Qxmd4Rx33HEp7MUXX0y23trhlFNOqXMe5GZ1tFM7zauvvprstj6D/NhjjyX7mmuuSfZuu+2W7EsuuSTZiy++OAAjR45MYVdffXWy9Wz/jBkzkn3DDTdUKcW1RXTYBPmztV9++WWyiznCirO0ukzWs/hzzjlng9LUv3//ZGtlxP/93/8l+8QTTwSgXbtc01CrOQYNGpTsyy+/PNnaGdKQIUMalL5aJipbAC677LJk62e70korAfkzlWeddVayp02bluz7778/2QsssEB1E2skorKokD/++KOZU1L7aIWULsdnZWwG2TAMwzAMwzAMwzCwDrJhGIZhGIZhGIZhAG1UYn3bbbcle/PNN0/2Ioss0hLJaRImT56c7LiQXssSV1555WZPk1E7nH/++cmee+65k/3rr78m+6233mrWNBlGKUaNGgXkv6dayqudCL3yyivJHj16NJC/T2tWvJC/f6uWU8d9wW+55ZbMOOI12jJRWh2dtEC+PF1Lojt16lTnfO34T9tRfgpw2mmnJXunnXZK9nbbbdfQZNcMv/zyC5AvV9TOsbRDoHhs4THx3deSXL3MQMtzSzk5mzRpUrJ1u0gvRTj33HPrjWP55ZfPPDbufQ35e8y2FfT9HXroocm+9957k73PGZ9LqQAAIABJREFUPvskOy5F0PVtr169kq0ddq2//vrJ1vvPLrnkko1NtqHQz1BT7LuJx+tnqB3TtWW047K4H7peOqHzZFbBZpANwzAMwzAMwzAMA+sgG4ZhGIZhGIZhGAbQhiTWU6ZMSXaUykG+18X999+/GVPUtGh5YfSq+OGHH6aw++67r9nTZLQs7733XrL1fsdaTjd48OBka4+qhlELZMmYx40bl2wtUe3atWuy9f7HWSy44ILJ1h6GtSfsu+++u855WkY8ZsyYeq/RWtGeXuNerloa+vjjjyc7S1ZdDieffHKyb7zxxmRr2W9bkFi/9tprAHz88ccp7IEHHkh23759y45Ll9W67TJ8+PBkb7PNNvXGoT1QL7vsssnWnqsbyttvv53s1VdfvdHxtSR6Sce1114LwBlnnJHCvvvuu2RfddVVyf7b3/5Wb7z6eevnpt/1LbfcMtkvvfQSAF26dCk77UZxXn755WTPP//8yV5mmWUyj4/LQvRuCaWWILQVlltuuWRHL9+6HFtxxRWbPU0tjc0gG4ZhGIZhGIZhGAbWQTYMwzAMwzAMwzAMoA1JrJ966qnM8I022qiZU9I87LHHHsmOXi2HDBmSwp5//vlkb7DBBs2XMKPFKOa5WkustcfMYh4ejZZDy3j33nvvZL/wwgvJ1lKxtoCW+I4fP77O799//32yZ86cmWztYVN7+c1Ce6t++umnk62/k3iM3u3g8MMPT/bZZ5+d7KlTpyZ7scUWq/fatc7ss8+e7J9//hmA119/PYVpD8V6+VLHjh0bdI1tt9022bfeemuyo7RV53lrY955560Tpj2vV4Ku4//85z8ne6655kq2rtsvvPBCAAYOHJjCtFR04sSJDUqHRn9/UU4O+V6eWwsPPvhgsk844YRkv/POO0D+e3rxxRcnu6E7hGjP5tFbPMDGG2+c7OjVXZdR7du3b9D1jPx2sPYcPtts2XODsa75/PPPmzZhNYje3SHyv//9L9kmsTYMwzAMwzAMwzCMWRTrIBuGYRiGYRiGYRgGzSSx1p5Jhw4dmmwt/cxCS+/eeuutZK+22mp1jtWSFO2Nbamllqossa2QSy+9FMiXWGt5lpbLZckojNbNBx98AOTLFY855phka4+Y8803X7JNYl17aG/M2it5W5bZRUkj5CSc2lu1Lvu1VHe99dZLdufOnevEq/NMy4H19Tp06JDsAw88EMiXiy6xxBLJPuecc5KtJd377bdf3Ztqpey4444A3HvvvSnsr3/9a7K192O9fCl6Aday9yjXBvjkk0+Srb3n62OOOOIIAA477LAUJiINuIuWI7Y9tAxaL4/YZZddGhSvlm5rz7I67pivui2k832fffZp0LU1l1xySbK1Z+c999yz0XE3FVpmq79t7YV7+eWXT/add94J5L4FyH+e1WDNNddMtvbkvvPOO9dJp96RorV9Dy2N7kPopTrFiHWG9mo+q6CXFkW0xHpWxGaQDcMwDMMwDMMwDAPrIBuGYRiGYRiGYRgG0EwS6yhZAbjxxhuTXUpirT397bDDDsmeNGlSspdcckkgX7qt5XaDBw9OtpYdtyUWXXRRID+PtNy6X79+yX7mmWeS3a5dm3FiPktz3nnnAfmS0uOPPz7zWC2xntXlM7XIq6++mmwtMy7mMVhLWo899lggX17fUI+rzcnkyZPrhB188MHJjvcFcNFFFyX7zTffTHaU+2rJ6RxzzJFsXTZqyaKW80b5qJZxa/T1unfvnnlMa+eee+4B4KWXXkphWsq+wAILJHv69OnJ7tatG5C/nEPL17W88dtvv61zHuQkfq1ZRhrLYC05vv7665N96qmnJlvnZSUsvvjiydbLD6KXWS3B1lJR3UZaffXVk62fQRa6noiesiHfy37v3r3LSntzocuMf//73yWPf/fdd5OdJRfXbUotRV1wwQWTvcwyywCwxhprpLCePXsmu0ePHsnu1KlTsrWUO5ZB/fv3rxMvwOmnn17qVgyFbvOfcsopydbe2HU5FeuMX375pRlSV1ssvPDCdcJm9TaizSAbhmEYhmEYhmEYBs00g/zFF18kW48w6wX09913H5DbBw7yR9w02glFr169APjqq69S2E8//ZTssWPHJrutziBHjjzyyGTrGeThw4cnW88sRudeRuvjww8/TPagQYMA+Mc//pHCunbtmnmeHgnXzoqM2mDUqFHJ1jMLxdCOo6677jogf7/C1jCDPOecc9YJW3vttZOtR7Z1/tx9993J1jPLkRdffDHZ2lmjLg/1nrFR6aQdpemZMe38sa2z7rrrJvuGG25ItlZ96ffsqaeeqje+zTbbLNlR8QT5z+iggw5qWGJrkBNPPDHZ2gmT3m83fq+NYaWVVqoTpvf21mWI3vdXq8f0DPf+++8P5DtPO/nkk5OtZ6SjcqkW0SqE6PgK8ttF+p3Vx8dZM713+rRp05Kt98j99NNPkx1n6G+66aaSadJliZ5ljuW13t96wIABmfHZbHJpipXZH330UbJXWGGFZMcZZP3+zyrociMqHPT7PStiM8iGYRiGYRiGYRiGgXWQDcMwDMMwDMMwDANoJom13m9VT+OPHz8+2dGRlN5fctNNN0223o/ytddeS3aUu8w2W66vr52zzEpoGZvOu2HDhiX7sssuS7aWMWpHXkbto+VtUS73z3/+s+R5f/rTn5Ktnbn88ccfQP53ZDQf0dmOlvWtv/76Jc/T33l8J7TjmNZA1h6jevlN3J8Y4OKLL0623uM1yqLXWmutFHbXXXcl+4orrki2dtZy9tlnJzvu66r3nDXypc96accFF1yQ7OgsTtfvxZg6dWqytZSxoXsE1yJ6X139vmm5rN5Het99960Th3aQo+Xs2jHfhAkTMo+JbLXVVsnWEuvffvst2QcccECy457XepmaRt+LdhZWa+jlY9opn5ZY6+UnWvbfWPQ+36NHj062Xu6nw8eMGZPs+++/Hyi+D69+f3S5qZfOtWYnd9WmmDNFXY5piXVcmjZjxowmTVetE5c1mZMuwzAMwzAMwzAMwzCsg2wYhmEYhmEYhmEY0EwSay1l0XsbaxldRMuxNXG/Y8iXhr733ntAvlxY7w04q6IlRnpfPudcsg899NBkRznnYost1gypMxrClClTkq33Ez/qqKMAWGihhUrGscoqqyRbS/Vi3EsvvXQjU2k0hHvvvRfIXx7yl7/8peR5WZLWasoFmwrtGff8889PdpQHnnvuuSls6623TraWhmpPwdEzdZSIQv4SHv2uazmi9gJ8zTXXAPnyWCOfbbbZJtlnnnlmsuPSqO233z7zPF3X63Ksb9++ydZ787Yl9Lv+8ssvJ3u//fZLtm6zxH244564UFzy3KdPn2R/8803QP4yGS3j1ujlWHpZW1xqs9tuu6Ww7bbbLtmtcSlWVjsTiu933lj0/tZbbLFFpl2KH3/8Mdl672ztdV+Xf3qP9ltuuaX8xLZxirWJ9FImTdzjWu+WMCtiEmuPzSAbhmEYhmEYhmEYBtZBNgzDMAzDMAzDMAygmSTWWkZ1zjnnJFvLrSPzzDNPZhxa+qu9/r3zzjtAvidGk1jnbz6///77J3vQoEHJjl5bAY4++mgg38ujUVtceOGFyY6eqwFOOOGEsuPQEmvNG2+8AcwaEmvt7VV7Yr3jjjsA6NatW7OkQ8voomReSx+7dOlSMo5p06bVCatVifW1116bbO2Ffe+99052lFBr2efjjz+eGZ+WEkZZqc6/ww47LNm6ftBemXv37p3sWXX3g0rQ+aXLoHHjxgHFJdbTp09PtvbQe/rpp1c7iTWHfq8eeuihZB9zzDHJ1ssMstDeeLVEfc4550x21g4Eenmb9s6uw7/66qtkx7bVPffck8K0vFsvdyhnSU8tEGXjhZTaseHpp59O9hFHHJFsvWRNl2PVrDs7duyYabdv3z7ZV199dbInT55ctWu3JYp59NZLDTVxlw9dXs2KRIl1XMI6q2IzyIZhGIZhGIZhGIaBdZANwzAMwzAMwzAMA2gmiXWPHj2SHafuAW677bZkR6lQ9OYKcNlllyVbT/VriVGUSkSJF+RLgl566aVka8/OWsodbb3xupYjFZO4zD///Mnu0KEDkPOCV0ucccYZyR48eHCydT7FDeq1nHHbbbdthtQZ9aE3tL/hhhuSrSVflUjdtLxYS8yiF8wddtihQelsTSy77LLJfvTRR5Mdl3GcddZZKUzLf6stXdbf5UcffQTA3XffXVEc8TxNlInVAlpGrpcC6HLykUceSXb0xKtlqdoz9U033ZTsn3/+OdlRRrnvvvtm/q6/na5duyZ73XXXLfdWDPKfi172lCXx/P7775M9adKkZOtlDb169ap2Emsa3b555plnMo+Jy6P+9re/pbAXX3wx2br9o71NZ6HLeL3Th16mpuXUa665JpD7DgEefvjhZGsP78cee2ym3blz53rT1NwUk1iX8mKt39n3338/2TNmzEi2bl+OHTsWyPdiXQ20F269rEEvnTOqQ6yXdNmllyJ26tSp2dPUEsR+2siRI1s4JS2LzSAbhmEYhmEYhmEYBo2YQdYzkXvttReQvyenHunSe1BqBx1Ze2w98MADyV5uueWSrfe/1HZchK9nmPXMwYgRIzLtpkLPcGjHMC3JEksskWw90qsdTMSZcT1qrffWy9pv1Wh6rrzyymTr2QC9l2slRKUD5M+k6mfdWtB7po8ePRqATTbZJIUVc8KiZ0yuuOKKZEdFi95f8qSTTkq23sdSz1RGx0TlzJzo8kErZI488kgA1lprrZJxaIYNG5bs1VZbDSju6LAleO2115KtZ6VWWGGFZL/yyit1ztPOVeL+xJC/V67e5ziiy36Nro923HHHUsk2ykA7JXr77beB/OeqHUtppzj/+Mc/mj5xLYxu5+j71Y6V1llnnWQ/+OCDyX733XcB6N+/fwrTSgzN5ptvXnaatGpDf3PLLLNMsm+++WYgf2Za38u3336bbK2A+c9//pPsWDfpOqqUQ6ympKH7IBfLc60u1Aqe+Nz0c60GOv1NtXez4clSgH7yySfJnlVmkBdccEEgf7/oWfE9tBlkwzAMwzAMwzAMw8A6yIZhGIZhGIZhGIYBNEJivcEGGyQ77uH35ZdfZh6r5bla1qklWHF/Vi1f0WgJkpbIRUm2lhppZzrawYuWBGn5TJQNaXmeXpivF+zrY7RkMIb/+c9/zkx/raDlo1ruGeXu2imUdlZUap9Go2kYPnx4sjfeeONkV8MZnN4TOe6D3JrQe3YffPDBQL7sU+8zeuCBByZbS5CPO+64OvbHH3+cwrQjQb3vrpZYR3TZpR1l6aUkWhb+l7/8JdmVfF/auZ7eL/ioo44qO47moph0Xzvm0vsSx3DtTE47vdGOEbX8K2u5jua0005LtnZWZDQcvZfuddddB+TXj1FyCvnLD44++uhmSF3L8MUXXwD5EmW9DOLMM89Mtl6yoZc2RYej/fr1y/xdLyMp5oAqC71ncrGlCH379gVg4sSJKezss89Otnbi+emnnyZb76Ucv7W49A7yl3k1N8Uk1qVk3/r57LHHHsnW7b7oUA3yHZhVE72ksCWl6rMCpSTWTfWMa42YD7p8+fzzz5OtnS23ZexrMwzDMAzDMAzDMAysg2wYhmEYhmEYhmEYQCMk1noPxIZ61K0EvXeiJsqGyvGyrPcwLrafcVtHy0C1N98oJ9LSq2uvvTbZWmalPcIa1WfmzJnJ1vtVnnzyycnWXmGjbFd7Fiy2VEGz6qqrJjtK57Scq9afs5ZNR6+L2jO0lnJqie1hhx2WbC1LjmWMLmu0F2tta+/ML7zwAgBTp05NYVry261bt2Rree/uu++ebO21uRRRzgr570ot7mGtZZ0a/f7q9zBKrLM8VBdSrE7IohbzprWjl+vouiILvfRB76XcFtDy4uiFXu8LPd988yX7xhtvTLYuk5Zaaqlkx7J4m222SWF672NNMflwFjrftWfqLLRna70USzN9+vRk66VZcXlErbSrGroPsvaYf+edd1Y1TZWg01/rdXJzoPPj+eefT3aUn+vln5WSJR3WEutZhYUWWqhOmG7TmMTaMAzDMAzDMAzDMGYhrINsGIZhGIZhGIZhGDRCYt3caEm3RssajcrQUpTrr78eyPfOqz3u3n///cnWHjqN6qOld1oKd+655yZbe2TPQsvDtLfk6KUU8r3QRs/IkyZNSmErrLBCJcludrQsebvttsv7H/Jlulp6PXDgwMzwXXbZBYD+/funsD59+mReu3fv3pl2U6F3CNBLWrRXzcZIy5qKYl4/9e4C2vN/9NarvXO/8847mXHonQYi2surlrYut9xyZabYKBe9W0R8hnq3CY1e0tTW0OVQLHe7du2awrSUd6WVVkp2r169kh298AN06NChzjWKyYEr8WKtn8Evv/xS9nnF0J76tV1rFPP8XEnetSS6HaaXQM1K6F02Dj300GSPGjWqzrFxmQMUf/Z62ZMm6z2eFSXWWRJq7bVe88MPPyT7X//6FwATJkxIYfr91R7ge/TokWztJT62w2oBm0E2DMMwDMMwDMMwDKyDbBiGYRiGYRiGYRhAK5JYa8mSRm9ebTSceeaZp06Y9oSsPe7uv//+yb7wwguBnBdho/EUk1Fp6a/2EBqlpFrq8uSTTyb70ksvTfZ5552X7AUWWKDONS644IJka4+rrREtM9eeWHUeXHXVVcm+5pprABg8eHAK07LlY445Jtk77rhjskt5Q20oTz/9dLK1t+0ohy9MRy2y4YYbJnu11VZL9sMPP5xsvXyjc+fOQL73a+35W8uytETyvvvuA/I9Ch9wwAHJzpKtGtUjSuSKSaw333zz5kxOs6Kl/PpdribFpKIN9WJdDYl1a6HYjg7ffvttsjt16tRcyamYt99+O9m6jm+rxGVegwYNSmGxnQnQpUuXZN9xxx3Jjp7Uhw4dmhnvKaeckmztIV7TsWNHIH85gpYIzypkSay1F+tp06Yle/vtt092lMLrdpPebSJ6uIfc7h8A9957b7KvvPJKAI444ogGpb2a2AyyYRiGYRiGYRiGYWAdZMMwDMMwDMMwDMMAWpHEupi0pJQ0xjnXFMlpE+i8Oe6444B8z5paAnHJJZck+5xzzkl2lNRpD8vaQ6328GmUh5avaEnK+eefX3YcWo6tvf1q6bWWQ952220AjBkzprLEtkK0fOjMM89M9kknnQTk8gLyvVzvuuuuydZLPjbaaCMANt100xS2ySabJHvVVVfNTIeWOd51111Avhx+7NixydbvwciRI5Ndi56rNVryrD1bbrvttsl+/PHHk73IIosAMGXKlBSmPV/ecsstydaS0XbtfFWml3qcffbZjUm6UQGlPN5rT/pG5VTDi7VetvDzzz83Ok2thbhsoxBdrmiP7LXGKquskuzPPvusBVNSXfQONLpuffnll+sce8ghhyT7oosuSrZe3hA58cQTG522Wb3dutBCCwEw11xzpbDHHnss2VqurvtmTzzxBACbbbZZyWvosqtfv37Jjm3X2K6C4m2opsZmkA3DMAzDMAzDMAyDVjSDrGciNFkjSHGhPcCPP/7YZGlq7WhnUB999BGQv1/o6aefnuyll1462XpP6vfffx/IX1AfF9kD7L333sku5mgkCz2Cl/WMAZZYYolkR+c9cQaqNTJz5kwAnnrqqRS2zz77NDperbLQI7XaHjFiBJC/h+CsRnTkpPdZ1CPX2mmWdsYzbNgwAIYMGZIZbxyNBVhvvfWSrfdwjHstrrHGGins1ltvTbYeYdUzp7XOF198kRme5SAOcuWFLnv0zHOcKQa4++67kx3z5/bbb09h5pir+ejZsycAO++8cwrT38Nzzz2X7HXXXbfZ0tVWKFZ3PvTQQ8mO6opYlwN079492XqP+1jXQP4esy01U9OUlDODXMtopVFb2k9cOwF99dVXk3311VcD+c6fanmGvy0S2xh77bVXCtPPSyuCtOpt+eWXL/sauky77rrrkh33otbtH+08tjmxGWTDMAzDMAzDMAzDwDrIhmEYhmEYhmEYhgG0Iol1sb3IsuS3ep+0YhI/I1+qGfeJvfzyy1OY3iO2mJO0KJPQC+7ffPPNZJ988snVSWyZaFlGNeTJzUmU7Wrpl5aoNyVRiqedIxn5Uv+tttoq045Mnz492c8++2yyhw8fnmztYEvv7xv3WN54440bmeLaopiMUZcXWgq95JJL1vk9ys8hX66uHYVEiW/cj9doXuJ3op+Pplu3bs2ZnDaHzj/tIHDy5MnJjo63dJiW5BaTabf1pQjFJNZ6H+Rapq1KrPX7qO2DDjoIyHcq11zEfoZ2YlfLe2Q3Nccee2yytcRaO+GqRFZdDN2Pi8659LKclsJmkA3DMAzDMAzDMAwD6yAbhmEYhmEYhmEYBtCKJNbF5DBZ3lC1l+Xff/+9ydLUloje6rTXOu31UnsU3GabbZI9//zzA/lyCC0v1eg91bSkIkq8tBzzyy+/LJnmrbfeOtlRWrnllluWPK9WGTRoEJC/521zeXyNEmvtWdmojOh9EfLl/a1N6l9NyvEUO8888yR78cUXr/O7lv3fe++9yY4e9CFX/lTiKd+oPloar+XWUTZpNAy91EPvfa6/gbfffhvI95Svd6rQ9a+OY5lllqluYmuMeeedNzPcvFi3LMXe09h+1O3M5mLo0KEAOOdSWFtb9lQJ2qv9tttum+yBAwcm++ijj0623mWiocS+wf/+979Gx9VYrDVhGIZhGIZhGIZhGFgH2TAMwzAMwzAMwzCAViSx7t27d7KvueaazPDI7bffnmyT3DUcLb1666236j32X//6V7K119mXXnop2WPHjk229koePQbOPffcKWyJJZZItpbM6w3je/TokeyOHTvWm75aRXscfeaZZwA499xzmz0dMb/vvvvuFKZlRlriZxjlUo4Xa/3dr7nmmnXC/vvf/yb70UcfTXbfvn2TPSvL4GqBWM5fd911KUxLW60erh7ag+wDDzyQ7Fi/xm8I8r8dLdW95ZZbmjKJLc7HH3+c7GuvvTbzmCFDhiRbt0diXZe1Q0phuK4XF1xwQSB/qY32ON5QtEfltiSx3nDDDZOt83TAgAEATJs2LYVFz8YAyy23XFXT8dFHHyX7nHPOAfK9xuvvaVZGe7TWu3hceumlyT7++OMbfZ2481DW8tnmxmotwzAMwzAMwzAMw8A6yIZhGIZhGIZhGIYBtCKJtfbAePjhh9d7bC1Mzc/KLLLIIsneeeedM23Dc+aZZyY7ykoPPvjgZk9H9GL9008/pbBPP/002QsvvHBzJ8loA2g5nPYwr6WJWk7dqVMnAHbfffcUdtNNNyV7jjnmSPYFF1xQ3cQaDSZ6v9fSeS1b1TsitHWvyU3NgQcemGy9HCd+X3rnDi2rvvzyy5O97777NmUSW5wxY8YkW9+35q677sq0q4lut2rptV4qppeTxbaT9h6s6+Fisu/WiC7LzzjjjGRfcsklABxyyCGZ5+m2yG677Zbs+C3od3748OHJHjZsWKb9xhtvJLtz585A/lIzWx7i2WKLLZKty48TTjgh2dEbue6j6fzTS670Mgi9VGTkyJEA7LnnntVIdqOwJ28YhmEYhmEYhmEYWAfZMAzDMAzDMAzDMIBWJLE2jLaC9vJ96623JvuUU04B8j0oNhdrrLEGkC/h0nJJw2gIWir41FNPJVtL4+aZZ54655199tnJnnPOOZO94oorJnuFFVaoWjqNxhHLj7XXXjuFvfzyy8n+9ddfmz1NbRX9vTz88MPJjt6ao0QR4Kuvvkr2dttt1wypqw122GGHZM+cOTPzGL2cSB8TvUb/+OOPKUy/v99//32yo6QU4LPPPgNg6tSpKWz69OnJ1pJSHT569OhkR8/N3377bWaa2+ozPProo+vYU6ZMSWEjRoxI9rPPPpvsq6++OtnFpPQR3bbRHrT1kra4DFDL3g2PXhallz3p8NiGjf+Xi16K0K9fPwAGDhzYoHRWE5tBNgzDMAzDMAzDMAxsBtkwmh09Q6z39N57771bIjkA9OrVC8ifcTCMpkI79vjhhx/q/K4d2uhvxKhN4j7UcS93gMGDBye72nuXGp7evXvXsfUMp34Giy++ePMlrBWgZ620XQtMnjw52a+88kqyV1555ZZITosQHYcW2vvtt1+yjzrqqGQPHToUgA4dOqSw9dZbL9mxjQMw++yzVzOpsxw6/26++eZkR8dq2vGZPlZ/Z3HfcMjf57pjx47VTWwjsBlkwzAMwzAMwzAMw8A6yIZhGIZhGIZhGIYBmMTaMJqddu1yn92hhx7agikxjJZBS0ONtoN2IFVsH1OjabFn0PpZeumlM20jn6wlBkbLEZ2faSdorRmbQTYMwzAMwzAMwzAMrINsGIZhGIZhGIZhGACIc678g0U+Bz5suuS0WZZ0zjV6c1vL/wZTlfwHewaNwL6BlsW+gZbHvoGWxb6Blse+gZbF8r/lsWfQspSd/xV1kA3DMAzDMAzDMAyjrWISa8MwDMMwDMMwDMPAOsiGYRiGYRiGYRiGAVgHuU0iImeKyBYljtlERNZTfw8SkV2bIC1lxSsiHURkuIjMLiI9ReQlEXlTRMaLSD913FIi8rKIvC8id4nInOq33UXkrXDeHSGsm4g8Ue37Mgyj5SksxzJ+31FETgt2/1A+jBeRoSKypDruCRH5WkQeKTj/dhF5R0TeEJEbRWSOEL6diJzZVPdVS4jI9xUe311E9mrAdcqtA44K5b8Tka4qfMVwzs8i8k8VPqeIjBCRZt3WUkSm6PRVeO5zIlKVfWtE5BgR6VjP7/eKyNLBPkdEPi585iLSPtS374f6t3sIX0tExoZ/40RkpxDeInluGEZ56La5iGwYytqxItKhjHMH6DK2yDEHiMgVZcQlIvKsiMwb/r5RRD4TkTcKjjsr1AVjReQpEflTCG+ycr/JOsgicrS6FFc2AAAVqUlEQVSITBSR25vqGvVce5HY0BGRLiIyTES+L3xY9VQGG4nIaBH5TVTnrrV0tpxzpznnnilx2CZA0YZlFk1c2R0EDHHO/Q78COznnFsF2Ab4t4jMF467ALjMObcs8BVwcEjbcsBJwPrhvGMAnHOfA5+IyPrhuC6qQv+fiEwL9tci8lZDEx8Kg89V3GNFZGUR+ZOI3KuOuzN85MeGD3usiIwRkWXqibtOQys0UsaKyEcF1+3e0HtoKCKyq4icHOyjVCE2UkRWVMedGhpYb4sawBHfcXkz/Pu7Cr9MRDZqgvROEZGu4hvyb5Q+o1HXOkZE9gv2buEe/5CCxq+InBTy5h0R2TqELR7Krjjo8w91/MUisllTpr2lKCxnSpQ7m1B/OXY8cFWwxwC9nXOrA/cCF6rjLgL2zTj/dmBFYDWgAxA3ln0U2F7q6XjUIs3UYekOVNxBpvw64AVgC+o6qPkSOBq4WAc6534BhgL9mDU5Bsh8T0VkFWB259zkEPQwsFbGoQcDX4V69zJ8PQzwBv6b6ol/TteKSLtayPPmKN/LRcobhChsQxxS8Pu8IjJVt2NF5BkRmb957qJ6NKZ/IJUNihZry9c3AHeD+MGe8eG5zRPCjxKRgypNbythb+A851xP59zMZr72n4Fxzrlvw9+D8GVJIRc551YPZc0jwGkhvOnKfedck/wD3gYWa6r4S1z7IqBvsOcGNgD+ClxRcNw6wCLA9wXh3YHVgVuAXQt+uwnfCWuue+ke8vJ2YCK+Ydcx/HYa8Cq+kvovOadrg2K6gSnAGcBoYAK+sdcd+B8wDRgLbBjOuQZ4DXgX2C6cfwDwEPAsMBzfIH1Epe8K4IBgnw+8BYwHLlZp+Q/wIjC5MD9VPC8C3Yv8Ng5YDhBgBtAuhK8LPBnsC4FDipzfF7gqI3wA8E+Vz2804jkdUPh+ZRyzMPC++vtE4NQy4p4CdG3odav8PrbLCHsZmD/Y86rwneO7Er6n0cCcwDLAe/gBup7h+XYA5gCGAUuFc5YBHm+Ce5gCdG3sMy8nr8K3EN/XlYAVgOfwjcp43MohD9oDSwGTgNnxZdMa4ZhO4btcOfy9JPBUcz33Cu+7O5WXWc8B/8aXP/9Hrjx6GbgUWAB4IOTnqPA+daegHCtIx/LAsCJp7AW8UBC2CapsyzjnWOAc9fdlwO6tMG+3D/k6BngGWCgcNw++fpsQ8nmXEP49cE54R0ep4wehynNCPRqO+SY8k2PDu3xRSNt44PAi91ayDigIm0JGuYgq11VYD+CxJnom+wCvhPu9Ft/hzEtfPcd8H96jN/GNuW7qmV0Qznk3vtvh+Y/El6WjgfXUu/tceB/i+yH4huMv4ZnW+RaAcwn1d0F4YZvoSWDdYLfD18NScMxSwKfkyrsmy/MKvpUmK98rSMcqwP3q72LtzgOopy4HBgJ36GOA/YFTWvoeG5AnDe4fZH3fBb+/qL677mS05fF1w3LB/hPwCTBf+Fu3YS4FTgx2R2BMS+ddPff9L+Ad4HngTnJt2574Mnk8cD+5ttogYFf8oO+XwAfA7Rnx7hfOHQfcWvgMUO0ZfLtqinqfHwy/vwecXiTddwCbFITV++3iJ8OuLvVeNLYMapIZZBG5BlgaeDzMlM0tftr8lTBb1jccd4CIDBEvb3tPRC5UcWwTRn7GicjQEJYZTwa7AE8AOOd+cM49D/xUeJBzbpRz7pOM8CnOufHAHxlxP4AfbWlOVsB38FYCvgWOCOFXOOf6OOdWxXcwtity/gzn3BrA1fgXaAq+8XmZ8yNGI8Nx3fGjx38BrhGRuUL4GvjCZeNiCRSRLsBOwCrOz9CcrX5eBD9IsR2+E1147pzA0iFdhb+the9UTQK6AF87534LP08FFg328sDyIvKCiIwSET0C9Rp+EKAUs4vIdWFU8SkJUhMRWSa8o68XzoqWomAU+ylg0TA6fDp+ZP9vIjIsHLtPeLfHisi1IjJ7udcpuOY+IjJBvCz03BC2Z/y+ROT/ROTdYC8vIsOD3Ue8xPF1EXlcRBYK4c+Ln819DTiq4ForA985574CcLlRQPCDU9FNfl/gTufcL865ScBHwJr4TuMo59xM59yvwAj8e0Q4bhERadCWCGXmZzvxMtqJYbS4Yzh381DGTAhlTvuQP0PC731FZKZ4Gc9cIjI5I+7NgNHxfXXOTXTOvZNxXF9gsHPuZ+fcB8D7wFrOuU+cc6PDud/hO0SLhr8/BLqIyMINyZtmoCFl1pzOud7OuUvC34vhOwD98YN8Y0LZcjJwSz3lWGR9fCcii4OBx8u9GfHS6n0J9Uqg3HKl2jQ2b58H1nHO9QIG42fZwTewvnHOrRby+dkQPjf+G+2B/z4PLZG+E4GR4Zlchs/rb5xzfYA+wKEispQ+oYI6oKG8Ea5dVURkJfwMxfrOz2z8TkH7oMQxcwOvOT9TPhw4XZ3azjm3Fr6eiOGfAVuG+rwffvA50iscuzK+/bW+c+4/wHRgU+fcphm3sD7wehm3uijwMUAoz77B18eIyNoi8ia+E/5XVT83SZ5XSLE6vWdoJ4wXkfslzMKKkraLVxlNCfYqqi4ZL16xVm4dsze+owAUb3fWh4isCSyEb0NoHgL2rCSuliajf7CAiDwQ8nWUiKwejqsTLl4h91fg2JDnGxbEvTzws3NuBhRvyzvn3nXOvRfs6fjvqlv4+9sQl+DLURfCfwSmhPKophCRPvh+Tw9gW0Ar1G4BTghl+gTyyxicc9fj36PjnHOFZdcqwKnAZqH8/weVsVZI1+rAbpK9bKTcMiipL/Df1GmljqeRZVCTdJCdc38lVyhfBpwCPBsK+02Bi0Rk7nB4T3xBvxrQT7yssBtwHX4EuwewWzi2vngAv0YVLwX6uSnujZZpFH3snHsh2LfhO5sAm4qX2k7AN8ZXKXL+kPD/6/hOcDHuds79EQqOyfjZZoCnnXNflkjjN/hBiBtEZGe8RC7yQIj3LXwhX0hX4OvCQBFZBLgVONA5lzVYoWmHn2XeBF9hXCc5Sd5n+FHCUiwHXBkaK1/jP2zwszF/d86tCfyTnGSzkH6SL7EuXMuxAzApNBzPINe437SchlY5iMhi+MGJTfENpvVFZDv8rEN8bzcEvgkd4A2BESLSHj9CvUu4z9uAs1TUs4cG9r8LLlmncBMvn5qEn3U6JgSnBlYgDm5MADYOleHc+MJ9cXXcGCpcChDSUG5+1ulsiB8YGgT0c86thn+3/hbS0jOctyG5wndt/IxcIRU3PgN64CfeT3f889TXGR2uUYs0pMy6qyCOe5yX2xLOvxXAOfcsfnBg3hJpWAT4vDBQRPbBNyAuKvdm8N/8iIJOeLnlSrVpbN4uBjwZjjtOHbcFcGU8KA564Wcg49rsUnVIFlsB+4nIWPz72wVf1mqqUQcUJbxHv4hIp4bGUYTN8QN9r4b72xzf+C/3mD/IPRv9LCG73p4DX7dNAO7Bd4YjrzjnpoZ8Gkt5zynzG6kE59zLoc7sA5wUys+mzPNKKFan19tpyOCvwMBQl/QGplZQx5TdAQB2kZy0d3EAEZkNuATf9sgjfKPtxU9QtAoy+gd1Bj/DodUeFM0kawBORG7Cq5NWBC5Xh7fUoGgp1gcedM79FAbTHwYQkc74mfHh4bibgUqWrW2Gr4fjgEOpfkAhTzvnvnBetj2E/PItskBIc0mcc6c45xbHK2SOKuP4RpVBzeVAYStgB8ktoJ4LWCLYQ51z3wCIXwO6JDA/vjHyAeQ9lGLxTFTXanSBX4KWaBQVblbtQiV0FV7a8LGIDMDnRxZxsOB36n/mda4T/v9Bhf1G/sBKrAx/CwXN5njZxlH4j0tfH7zsq5CZhWkPjd9H8fKhUSH4C2A+8WucfsM39KaF36YCL4dZyA/Ez5Auh5f1zRWuUYoPnHNjg/060F38+pP1gHv8gCLgpbBZ3OWcK5xhLeOyQH4jCvzI5WflnqxYGz+INCNc/w5gI+fcI6oTujBwN76g3BAvcVkJ31B+Jlx/dnyepnsrcr0631uYtfiP+LW3JxPWiWfhnHtDRC7FSz2/x3dCf1eHNPR7Kzc/CzsbRwNP49+Fd0P4zcCRzrl/i8ik0DBaCy+/2gifV4UVNfi8mZgRXhHhHbwPOMblz9C3VAetHBpSZv1QcE7h35UyE+isA8SvfT8F2LjcQVTxao9uwOEFP5VbrlSbxubt5cClzrmHRGQTvDStPn51zsVr6jok1QWhET9nxrngy/y/O+eerOca5dYBjaE9GUqyRiLAzc65kxp5TEQ/26x6+1i8jLkHPu9/yji+8Jz6qJPvRZiGH7icKn4de2d8fZxLuHMTxa+rXRXfkYCmyfNKyKrTszoN95SI5yXglDAAPcQ5956IlFvHlNsmfRivsvpZRA4P6doMrxB5zDk3tUh7ItYDX2T92ArYgDBw4Zx7VryfmHnrCa+Pitr/agBufz0A55w7MKgBLscPgtwUfvqM3MSR4dF9gsKypFifIu98EZmtwgHQ24HHKD2wBY0og5rLi7XgZ6Z6hn9LOOdiw7GSQr2+eCLlFvgNpSUaRUuIyLrB3gsvkYv3OCM0oCv1QP0dfl2jZjcRmU28w6il8esZCvkQWFm85HQ+fEckNuI7O+cew1fiPcpNSBgFnT2OPIuX292PHzG8Vx3n8GtU473uT0669AB+9hjxDq2Wx8+CE+xynHVkvYuz4WXdPdW/lcq9twqIjah4jRWccwOqfI1R+M7qW+RmlNfBr9kRYLy6/mrOuW3VucU6K/V9b3fg1yFDroEVSYMbzrn/OufWcM5thFcivKuOa+j3Vm5+llOAa0bgZ7l/xXfqNwj/sjrIlTY+IylvxEt778OvDRpScF5LddDKodpl1kjC7Ezo1M0IgwVZ5VhkIrBs/ENEeuHXf+7gnCtr8Em8o5ytgT0zKvByy5Vq09i87UxuYHF/Ff40cGT8Q0o7/5mC7yCAV8fMEezCZ/IkfilJ9AC+fKHyq9w6oKGEGbYZYQC1mgwFdhWRBcN1FhDlHb2MY2Yj96zis6yPzsAn4V3cFz84V4qyv5F6eIjcu7IrfhDWid9Voh1AuKcV8e9FU+Z5JVQ6aJDZ2HfO3YF/x2cCj4l3kFhuHVNWPRBm2mJ6ryf3ba0LHCVe7n0xXo2hl6rVcj3Q3JTd/i81ABdmHweTUx1A7eb1C3inkXOF8n87gDD5+JXkpOj74pdylMuz+H5BXE6xQMYxU8i9q4X1zpahvOsA7BjSWcg71FXd1EHCsoZAX/w69lLnNKoMaq4O8pPA3yUMf4WGSn2MAjaSsE5JPZRy4nmXyiVgldASjaJ3gCNFZCJ+dv1q59zXeBn6G/h8ebXCOB8GdpL8dRwf4Z2CPI5fS5S1bvtj/OzjG+H/MeGnTsAjIjIeX8n3rzA9T5GTX+yOn5k7QHJy5ShtPQHoLyLv46V6N4TwJ4EvggphGH49RRxR3RRfEFZMaIR/ICK7gV+XIiJld/4roJyGVjm8jJdadgkNlz3IFYgj8TKtEfjR9K3x64e/x3eaFw0qAMSvrS0m2dcUdkJ0IbY9uUGWh4A9Q7zL4JUir4dz4j13xzdCBqs4Gvq9lZufWZ2Nd/AzDfG+dKUyEi8bf8l5D+ld8DLtrDRW0vjcIww6LYVXPrwSyrkbgInOuUszzmupDlo5VLvMGgCsGcqX88k11rPKscgIoFesL/CS6nnwapCxIvJQPFBERuJnkTYX7yl26/DTNfhlIS+Fc/S6pwaXK42ksXk7AJ8Hr+OdLUXOBuYX77tgHP7+6uM6/PKIcfhGfBxEGw/8Lt5/yLH4xv5bwGjx/hiuJbujUlYdIH4Jx1T8QNJ4Ebk+hC8cwvsDp4bnGGecmuRZOb9s6FTgqfBuPo2fxSr3mB+AtUK+bAaU2jrsKmD/kOcrUp7K4r/AExJ8XRTwKGFgGUBELgx52DHk34Dw0w34ZQ3v4/P3xBC+ATBOvHT8fuCIqF6i5b6PeinRaZhCRmNfvAfqyUEd9SB+TWW5dUxZ9YD42czIDuE8nHN7h8mg7vj6+xbn3InhHMErwqaUir+GKTb42ehB0WIUG4AL7btlo41/DrojVpN1rnPuVXw7Yjy+/T4BP9kAvq68KJQ9PSldxuh438QvlRseypysdsjF+AHQMfilMppX8AP844H7nHOvFZ5M3TLoTrxiY4VQBkUF4vmhbhqPVxP/IxzfdOW+azqPalPIeZLrgK8UJ+C9NUbPtgeQ75HvEYI3M/wszRi857Sn64sn49pDgWUL0vIlXsI5lZwn2AvD33+E/weE8D7h7x/wspU3VVz/xMvFmizvCu6lOzXgibEZ7nMNgoe8Joh7BMFzX0H4AIp4sQ7POb4PS+Gd84zDN/ROy4jrALy0Z6z6t56ON+Ma6frh737hvPH4zuM66v0t24s13mPqBHxBfp4KXwE/Q7p0+PtZvNRSP4Pnw/XfBA4K4c8DPYtcf56Ce7oynDs2fIcrqd9Ow6/zeQfYSoW/GPJ1LMqbIV4aM5Hg8bUBz73e/CTnEfi2cJ37yHkE3hxf/kwAbgTah/AO+FmJrcLf/wUeKnL9JfFLReLfO+HLlZ/xMskn1W+nqLzZNoRtEJ7XePVO/Tn8NkdIcx2v4i39r/A9b+G0DAS2aIJ4F8IvD5pl87YJ7q0p64AhwPItfY8Z6fq+ha/fAT8h0aAytpbzvPBbIb9O1559HyDn2XfFEDYGP2A0JYSfqOq1J/DrJovWMQXp2Bc4W/1drN15XrjGOPwg/4oZcR1Afpu5N77j0eLvcoXPZgq5/kGdHQpKhC+v6sTCnQs6hjyMHvwz2/L4NtKv5LfXeuInDV8g1366nXyv1qOBLi2df0XydB6VB68RdsCo9X/4wcKnmyjuRpVB8SVqU4jfrH5N59ypTRD3CPwWUl+VPLg61+uOHwhYtTmu15KI32PuZpdzzFONOLvhnWg8UK04jXxE5Eq8I4fnqhzvbvjBrDOqGW9zIiL3A8e74DGzivHuhK8A/1XNeKtBLZVZ4h3Rre2ce6jkwZXF2we/NndsyYOre93u1EjeNgVNVAfMCezhnLul5MHNjIh875ybp4XTsDVepfJRFeOs2TxvbsTLS4fh2yFVe69D3APxA7RDqxlvaybkycPOuWeqHG8voL9zbt9qxlstxPubWRkvA7/ZOXdeCyepbERkd+AJl+9jpbFxNroMapMdZPBrx5x3X17NOK2zZRgFBGnYms65R0oeXFm8VS80mxsRWQG/b+yIKse7G37UtY7nX8MwDKN2aIpBiBDvoc6566oZZ2unCQdFtwTecxlb0RltkzbbQTYMwzAMwzAMwzCMSmguJ12GYRiGYRiGYRiGUdNYB9kwDMMwDMMwDMMwsA6yYRiGYRiGYRiGYQDWQTYMwzAMwzAMwzAMwDrIhmEYhmEYhmEYhgHA/wMe7+VlqU3DLgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1224x1224 with 100 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dataset_normalized_preview(dataset_normalized, image_shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Prepare Train/Validation/Test dataset splits"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 706,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tmp_ds: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]\n",
      "tmp_ds_test: [0, 1]\n",
      "tmp_ds_val: [2, 3, 4]\n",
      "tmp_ds_train: [5, 6, 7, 8, 9]\n"
     ]
    }
   ],
   "source": [
    "# A quick example of how we're going to split the dataset for train/test/validation subsets.\n",
    "tmp_ds = tf.data.Dataset.range(10)\n",
    "print('tmp_ds:', list(tmp_ds.as_numpy_iterator()))\n",
    "\n",
    "tmp_ds_test = tmp_ds.take(2)\n",
    "print('tmp_ds_test:', list(tmp_ds_test.as_numpy_iterator()))\n",
    "\n",
    "tmp_ds_val = tmp_ds.skip(2).take(3)\n",
    "print('tmp_ds_val:', list(tmp_ds_val.as_numpy_iterator()))\n",
    "\n",
    "tmp_ds_train = tmp_ds.skip(2 + 3)\n",
    "print('tmp_ds_train:', list(tmp_ds_train.as_numpy_iterator()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 707,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Dataset split\n",
    "test_dataset_batches = 1\n",
    "val_dataset_batches = 1\n",
    "\n",
    "# Dataset batching and shuffling\n",
    "shuffle_buffer_size = 20000\n",
    "batch_size = 20000\n",
    "prefetch_buffer_batches = 10\n",
    "\n",
    "# Training\n",
    "epochs = 40\n",
    "steps_per_epoch = 200"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 708,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset_batched = dataset_normalized \\\n",
    "    .shuffle(\n",
    "        buffer_size=shuffle_buffer_size,\n",
    "        reshuffle_each_iteration=True\n",
    "    ) \\\n",
    "    .batch(batch_size=batch_size)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 709,
   "metadata": {},
   "outputs": [],
   "source": [
    "# TEST dataset.\n",
    "dataset_test = dataset_batched \\\n",
    "    .take(test_dataset_batches)\n",
    "\n",
    "# VALIDATION dataset.\n",
    "dataset_val = dataset_batched \\\n",
    "    .skip(test_dataset_batches) \\\n",
    "    .take(val_dataset_batches)\n",
    "\n",
    "# TRAIN dataset.\n",
    "dataset_train = dataset_batched \\\n",
    "    .skip(test_dataset_batches + val_dataset_batches) \\\n",
    "    .prefetch(buffer_size=prefetch_buffer_batches) \\\n",
    "    .repeat()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 710,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "label_test.shape:  (20000,)\n",
      "image_test.shape:  (20000, 28, 28, 1)\n",
      "\n",
      "label_val.shape:  (20000,)\n",
      "image_val.shape:  (20000, 28, 28, 1)\n",
      "\n",
      "label_train.shape:  (20000,)\n",
      "image_train.shape:  (20000, 28, 28, 1)\n"
     ]
    }
   ],
   "source": [
    "for (image_test, label_test) in dataset_test.take(1):\n",
    "    print('label_test.shape: ', label_test.shape)\n",
    "    print('image_test.shape: ', image_test.shape)\n",
    "    \n",
    "print()    \n",
    "    \n",
    "for (image_val, label_val) in dataset_val.take(1):\n",
    "    print('label_val.shape: ', label_val.shape)\n",
    "    print('image_val.shape: ', image_val.shape)    \n",
    "    \n",
    "print()    \n",
    "    \n",
    "for (image_train, label_train) in dataset_train.take(1):\n",
    "    print('label_train.shape: ', label_train.shape)\n",
    "    print('image_train.shape: ', image_train.shape)    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 711,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = tf.keras.models.Sequential()\n",
    "\n",
    "model.add(tf.keras.layers.Flatten(\n",
    "    input_shape=image_shape\n",
    "))\n",
    "\n",
    "model.add(tf.keras.layers.Dense(\n",
    "    units=512,\n",
    "    activation=tf.keras.activations.relu\n",
    "))\n",
    "\n",
    "model.add(tf.keras.layers.Dense(\n",
    "    units=512,\n",
    "    activation=tf.keras.activations.relu\n",
    "))\n",
    "\n",
    "model.add(tf.keras.layers.Dense(\n",
    "    units=512,\n",
    "    activation=tf.keras.activations.relu\n",
    "))\n",
    "\n",
    "model.add(tf.keras.layers.Dense(\n",
    "    units=num_classes,\n",
    "    activation=tf.keras.activations.softmax\n",
    "))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 712,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential_44\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "flatten_44 (Flatten)         (None, 784)               0         \n",
      "_________________________________________________________________\n",
      "dense_148 (Dense)            (None, 512)               401920    \n",
      "_________________________________________________________________\n",
      "dense_149 (Dense)            (None, 512)               262656    \n",
      "_________________________________________________________________\n",
      "dense_150 (Dense)            (None, 512)               262656    \n",
      "_________________________________________________________________\n",
      "dense_151 (Dense)            (None, 345)               176985    \n",
      "=================================================================\n",
      "Total params: 1,104,217\n",
      "Trainable params: 1,104,217\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 713,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 713,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tf.keras.utils.plot_model(\n",
    "    model,\n",
    "    show_shapes=True,\n",
    "    show_layer_names=True,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 714,
   "metadata": {},
   "outputs": [],
   "source": [
    "adam_optimizer = tf.keras.optimizers.Adam(learning_rate=0.001)\n",
    "\n",
    "model.compile(\n",
    "    optimizer=adam_optimizer,\n",
    "    loss=tf.keras.losses.sparse_categorical_crossentropy,\n",
    "    metrics=['accuracy']\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Train model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 715,
   "metadata": {},
   "outputs": [],
   "source": [
    "early_stopping_callback = tf.keras.callbacks.EarlyStopping(\n",
    "    patience=5,\n",
    "    monitor='val_accuracy',\n",
    "    restore_best_weights=True,\n",
    "    verbose=1\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 716,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train for 200 steps\n",
      "Epoch 1/40\n",
      "200/200 [==============================] - 800s 4s/step - loss: 3.6174 - accuracy: 0.2604 - val_loss: 2.9169 - val_accuracy: 0.3690\n",
      "Epoch 2/40\n",
      "200/200 [==============================] - 739s 4s/step - loss: 2.7120 - accuracy: 0.4023 - val_loss: 2.5463 - val_accuracy: 0.4383\n",
      "Epoch 3/40\n",
      "200/200 [==============================] - 992s 5s/step - loss: 2.4390 - accuracy: 0.4517 - val_loss: 2.3391 - val_accuracy: 0.4702\n",
      "Epoch 4/40\n",
      "200/200 [==============================] - 1005s 5s/step - loss: 2.2781 - accuracy: 0.4817 - val_loss: 2.2136 - val_accuracy: 0.4935\n",
      "Epoch 5/40\n",
      "200/200 [==============================] - 1019s 5s/step - loss: 2.1720 - accuracy: 0.5025 - val_loss: 2.1351 - val_accuracy: 0.5098\n",
      "Epoch 6/40\n",
      "200/200 [==============================] - 809s 4s/step - loss: 2.0922 - accuracy: 0.5180 - val_loss: 2.0502 - val_accuracy: 0.5277\n",
      "Epoch 7/40\n",
      "200/200 [==============================] - 812s 4s/step - loss: 2.0288 - accuracy: 0.5304 - val_loss: 1.9968 - val_accuracy: 0.5404\n",
      "Epoch 8/40\n",
      "200/200 [==============================] - 801s 4s/step - loss: 1.9788 - accuracy: 0.5407 - val_loss: 1.9287 - val_accuracy: 0.5498\n",
      "Epoch 9/40\n",
      "200/200 [==============================] - 935s 5s/step - loss: 1.9373 - accuracy: 0.5488 - val_loss: 1.8987 - val_accuracy: 0.5552\n",
      "Epoch 10/40\n",
      "200/200 [==============================] - 971s 5s/step - loss: 1.9007 - accuracy: 0.5565 - val_loss: 1.8762 - val_accuracy: 0.5566\n",
      "Epoch 11/40\n",
      "200/200 [==============================] - 804s 4s/step - loss: 1.8710 - accuracy: 0.5624 - val_loss: 1.8370 - val_accuracy: 0.5676\n",
      "Epoch 12/40\n",
      "200/200 [==============================] - 849s 4s/step - loss: 1.8443 - accuracy: 0.5681 - val_loss: 1.8345 - val_accuracy: 0.5700\n",
      "Epoch 13/40\n",
      "200/200 [==============================] - 786s 4s/step - loss: 1.8210 - accuracy: 0.5722 - val_loss: 1.8026 - val_accuracy: 0.5753\n",
      "Epoch 14/40\n",
      "200/200 [==============================] - 811s 4s/step - loss: 1.7958 - accuracy: 0.5777 - val_loss: 1.7607 - val_accuracy: 0.5817\n",
      "Epoch 15/40\n",
      "200/200 [==============================] - 834s 4s/step - loss: 1.7778 - accuracy: 0.5816 - val_loss: 1.7695 - val_accuracy: 0.5829\n",
      "Epoch 16/40\n",
      "200/200 [==============================] - 952s 5s/step - loss: 1.7592 - accuracy: 0.5852 - val_loss: 1.7420 - val_accuracy: 0.5882\n",
      "Epoch 17/40\n",
      "200/200 [==============================] - 814s 4s/step - loss: 1.7429 - accuracy: 0.5885 - val_loss: 1.7143 - val_accuracy: 0.5917\n",
      "Epoch 18/40\n",
      "200/200 [==============================] - 955s 5s/step - loss: 1.7256 - accuracy: 0.5921 - val_loss: 1.7113 - val_accuracy: 0.5965\n",
      "Epoch 19/40\n",
      "200/200 [==============================] - 807s 4s/step - loss: 1.7141 - accuracy: 0.5948 - val_loss: 1.6815 - val_accuracy: 0.6019\n",
      "Epoch 20/40\n",
      "200/200 [==============================] - 816s 4s/step - loss: 1.7011 - accuracy: 0.5973 - val_loss: 1.6910 - val_accuracy: 0.6006\n",
      "Epoch 21/40\n",
      "200/200 [==============================] - 841s 4s/step - loss: 1.6860 - accuracy: 0.6003 - val_loss: 1.6776 - val_accuracy: 0.5995\n",
      "Epoch 22/40\n",
      "200/200 [==============================] - 1008s 5s/step - loss: 1.6748 - accuracy: 0.6027 - val_loss: 1.6483 - val_accuracy: 0.6089\n",
      "Epoch 23/40\n",
      "200/200 [==============================] - 935s 5s/step - loss: 1.6659 - accuracy: 0.6043 - val_loss: 1.6715 - val_accuracy: 0.6015\n",
      "Epoch 24/40\n",
      "200/200 [==============================] - 809s 4s/step - loss: 1.6566 - accuracy: 0.6064 - val_loss: 1.6618 - val_accuracy: 0.6066\n",
      "Epoch 25/40\n",
      "200/200 [==============================] - 940s 5s/step - loss: 1.6460 - accuracy: 0.6084 - val_loss: 1.6429 - val_accuracy: 0.6059\n",
      "Epoch 26/40\n",
      "200/200 [==============================] - 1005s 5s/step - loss: 1.6382 - accuracy: 0.6100 - val_loss: 1.5783 - val_accuracy: 0.6209\n",
      "Epoch 27/40\n",
      "200/200 [==============================] - 1000s 5s/step - loss: 1.6275 - accuracy: 0.6123 - val_loss: 1.6208 - val_accuracy: 0.6143\n",
      "Epoch 28/40\n",
      "200/200 [==============================] - 975s 5s/step - loss: 1.6214 - accuracy: 0.6138 - val_loss: 1.6122 - val_accuracy: 0.6130\n",
      "Epoch 29/40\n",
      "200/200 [==============================] - 824s 4s/step - loss: 1.6127 - accuracy: 0.6153 - val_loss: 1.6137 - val_accuracy: 0.6143\n",
      "Epoch 30/40\n",
      "200/200 [==============================] - 903s 5s/step - loss: 1.6070 - accuracy: 0.6168 - val_loss: 1.5767 - val_accuracy: 0.6190\n",
      "Epoch 31/40\n",
      "199/200 [============================>.] - ETA: 4s - loss: 1.6007 - accuracy: 0.6184Restoring model weights from the end of the best epoch.\n",
      "200/200 [==============================] - 820s 4s/step - loss: 1.6006 - accuracy: 0.6184 - val_loss: 1.6009 - val_accuracy: 0.6187\n",
      "Epoch 00031: early stopping\n"
     ]
    }
   ],
   "source": [
    "training_history = model.fit(\n",
    "    x=dataset_train,\n",
    "    epochs=epochs,\n",
    "    steps_per_epoch=steps_per_epoch,\n",
    "    validation_data=dataset_val,\n",
    "    callbacks=[\n",
    "        early_stopping_callback\n",
    "    ]\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 717,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Renders the charts for training accuracy and loss.\n",
    "def render_training_history(training_history):\n",
    "    loss = training_history.history['loss']\n",
    "    val_loss = training_history.history['val_loss']\n",
    "\n",
    "    accuracy = training_history.history['accuracy']\n",
    "    val_accuracy = training_history.history['val_accuracy']\n",
    "\n",
    "    plt.figure(figsize=(14, 4))\n",
    "\n",
    "    plt.subplot(1, 2, 1)\n",
    "    plt.title('Loss')\n",
    "    plt.xlabel('Epoch')\n",
    "    plt.ylabel('Loss')\n",
    "    plt.plot(loss, label='Training set')\n",
    "    plt.plot(val_loss, label='Test set', linestyle='--')\n",
    "    plt.legend()\n",
    "    plt.grid(linestyle='--', linewidth=1, alpha=0.5)\n",
    "\n",
    "    plt.subplot(1, 2, 2)\n",
    "    plt.title('Accuracy')\n",
    "    plt.xlabel('Epoch')\n",
    "    plt.ylabel('Accuracy')\n",
    "    plt.plot(accuracy, label='Training set')\n",
    "    plt.plot(val_accuracy, label='Test set', linestyle='--')\n",
    "    plt.legend()\n",
    "    plt.grid(linestyle='--', linewidth=1, alpha=0.5)\n",
    "\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 718,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "render_training_history(training_history)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Evaluate model accuracy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Training set accuracy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 719,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%capture\n",
    "train_loss, train_accuracy = model.evaluate(dataset_train.take(1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 720,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train loss:  1.62\n",
      "Train accuracy:  0.61\n"
     ]
    }
   ],
   "source": [
    "print('Train loss: ', '{:.2f}'.format(train_loss))\n",
    "print('Train accuracy: ', '{:.2f}'.format(train_accuracy))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Validation set accuracy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 721,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%capture\n",
    "val_loss, val_accuracy = model.evaluate(dataset_val)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 722,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Validation loss:  1.63\n",
      "Validation accuracy:  0.61\n"
     ]
    }
   ],
   "source": [
    "print('Validation loss: ', '{:.2f}'.format(val_loss))\n",
    "print('Validation accuracy: ', '{:.2f}'.format(val_accuracy))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Test set accuracy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 723,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%capture\n",
    "test_loss, test_accuracy = model.evaluate(dataset_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 724,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test loss:  1.63\n",
      "Test accuracy:  0.61\n"
     ]
    }
   ],
   "source": [
    "print('Test loss: ', '{:.2f}'.format(test_loss))\n",
    "print('Test accuracy: ', '{:.2f}'.format(test_accuracy))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Save the model\n",
    "\n",
    "We will save the entire model to a `HDF5` file. The `.h5` extension of the file indicates that the model should be saved in Keras format as HDF5 file. To use this model on the front-end we will convert it (later in this notebook) to Javascript understandable format (`tfjs_layers_model` with .json and .bin files) using [tensorflowjs_converter](https://www.tensorflow.org/js/tutorials/conversion/import_saved_model) as it is specified in the [main README](https://github.com/trekhleb/machine-learning-experiments)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 725,
   "metadata": {},
   "outputs": [],
   "source": [
    "model_name = 'sketch_recognition_mlp.h5'\n",
    "model.save(model_name, save_format='h5')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Converting the model to web-format\n",
    "\n",
    "To use this model on the web we need to convert it into the format that will be understandable by [tensorflowjs](https://www.tensorflow.org/js). To do so we may use [tfjs-converter](https://github.com/tensorflow/tfjs/tree/master/tfjs-converter) as following:\n",
    "\n",
    "```\n",
    "tensorflowjs_converter --input_format keras \\\n",
    "  ./experiments/sketch_recognition_mlp/sketch_recognition_mlp.h5 \\\n",
    "  ./demos/public/models/sketch_recognition_mlp\n",
    "```\n",
    "\n",
    "You find this experiment in the [Demo app](https://trekhleb.github.io/machine-learning-experiments) and play around with it right in you browser to see how the model performs in real life."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
